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1. Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor

Author

M. S. Moreira, G. G. Guerreschi, W. Vlothuizen, J. F. Marques, J. van Straten, S. P. Premaratne, X. Zou, H. Ali, N. Muthusubramanian, C. Zachariadis, J. van Someren, M. Beekman, N. Haider, A. Bruno, C. G. Almudever, A. Y. Matsuura, and L. DiCarlo

Subjects
Physics, QC1-999, Electronic computers. Computer science, QA75.5-76.95
Abstract

Abstract Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing neural networks on quantum processors faces challenges related to the implementation of non-linear functions using quantum circuits. In this paper, we use repeat-until-success circuits enabled by real-time control-flow feedback to realize quantum neurons with non-linear activation functions. These neurons constitute elementary building blocks that can be arranged in a variety of layouts to carry out deep learning tasks quantum coherently. As an example, we construct a minimal feedforward quantum neural network capable of learning all 2-to-1-bit Boolean functions by optimization of network activation parameters within the supervised-learning paradigm. This model is shown to perform non-linear classification and effectively learns from multiple copies of a single training state consisting of the maximal superposition of all inputs.

Published
2023
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2. The ABCflux database: Arctic–boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems

Author

A.-M. Virkkala​​​​​​​, S. M. Natali, B. M. Rogers, J. D. Watts, K. Savage, S. J. Connon, M. Mauritz, E. A. G. Schuur, D. Peter, C. Minions, J. Nojeim, R. Commane, C. A. Emmerton, M. Goeckede, M. Helbig, D. Holl, H. Iwata, H. Kobayashi, P. Kolari, E. López-Blanco, M. E. Marushchak, M. Mastepanov, L. Merbold, F.-J. W. Parmentier, M. Peichl, T. Sachs, O. Sonnentag, M. Ueyama, C. Voigt, M. Aurela, J. Boike, G. Celis, N. Chae, T. R. Christensen, M. S. Bret-Harte, S. Dengel, H. Dolman, C. W. Edgar, B. Elberling, E. Euskirchen, A. Grelle, J. Hatakka, E. Humphreys, J. Järveoja, A. Kotani, L. Kutzbach, T. Laurila, A. Lohila, I. Mammarella, Y. Matsuura, G. Meyer, M. B. Nilsson, S. F. Oberbauer, S.-J. Park, R. Petrov, A. S. Prokushkin, C. Schulze, V. L. St. Louis, E.-S. Tuittila, J.-P. Tuovinen, W. Quinton, A. Varlagin, D. Zona, and V. I. Zyryanov

Subjects
Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract

Past efforts to synthesize and quantify the magnitude and change in carbon dioxide (CO2) fluxes in terrestrial ecosystems across the rapidly warming Arctic–boreal zone (ABZ) have provided valuable information but were limited in their geographical and temporal coverage. Furthermore, these efforts have been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting their potential to be used in large-scale carbon budget assessments. To bridge these gaps, we developed a standardized monthly database of Arctic–boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity and ecosystem respiration. The data span from 1989 to 2020 with over 70 supporting variables that describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. Here, we describe these variables, the spatial and temporal distribution of observations, the main strengths and limitations of the database, and the potential research opportunities it enables. In total, ABCflux includes 244 sites and 6309 monthly observations; 136 sites and 2217 monthly observations represent tundra, and 108 sites and 4092 observations represent the boreal biome. The database includes fluxes estimated with chamber (19 % of the monthly observations), snow diffusion (3 %) and eddy covariance (78 %) techniques. The largest number of observations were collected during the climatological summer (June–August; 32 %), and fewer observations were available for autumn (September–October; 25 %), winter (December–February; 18 %), and spring (March–May; 25 %). ABCflux can be used in a wide array of empirical, remote sensing and modeling studies to improve understanding of the regional and temporal variability in CO2 fluxes and to better estimate the terrestrial ABZ CO2 budget. ABCflux is openly and freely available online (Virkkala et al., 2021b, https://doi.org/10.3334/ORNLDAAC/1934).

Published
2022
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3. Variational preparation of finite-temperature states on a quantum computer

Author

R. Sagastizabal, S. P. Premaratne, B. A. Klaver, M. A. Rol, V. Negîrneac, M. S. Moreira, X. Zou, S. Johri, N. Muthusubramanian, M. Beekman, C. Zachariadis, V. P. Ostroukh, N. Haider, A. Bruno, A. Y. Matsuura, and L. DiCarlo

Subjects
Physics, QC1-999, Electronic computers. Computer science, QA75.5-76.95
Abstract

Abstract The preparation of thermal equilibrium states is important for the simulation of condensed matter and cosmology systems using a quantum computer. We present a method to prepare such mixed states with unitary operators and demonstrate this technique experimentally using a gate-based quantum processor. Our method targets the generation of thermofield double states using a hybrid quantum-classical variational approach motivated by quantum-approximate optimization algorithms, without prior calculation of optimal variational parameters by numerical simulation. The fidelity of generated states to the thermal-equilibrium state smoothly varies from 99 to 75% between infinite and near-zero simulated temperature, in quantitative agreement with numerical simulations of the noisy quantum processor with error parameters drawn from experiment.

Published
2021
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4. Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications

Author

Xiang Zou, Shavindra P. Premaratne, M. Adriaan Rol, Sonika Johri, Viacheslav Ostroukh, David J. Michalak, Roman Caudillo, James S. Clarke, Leonardo DiCarlo, and A. Y. Matsuura

Subjects
Computer architecture, microarchitecture, quantum algorithm, quantum circuit, quantum computing, quantum gate, Atomic physics. Constitution and properties of matter, QC170-197, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future fault-tolerant large-scale quantum computers. These near-term systems require specific architecture and design attributes to realize their full potential. To efficiently execute an algorithm, the quantum coprocessor must be designed to scale with respect to qubit number and to maximize useful computation within the qubits' decoherence bounds. In this work, we employ an application-system-qubit co-design methodology to architect a near-term quantum coprocessor. To support algorithms from the real-world application area of simulating the quantum dynamics of a material system, we design a (parameterized) arbitrary single-qubit rotation instruction and a two-qubit entangling controlled-Z instruction. We introduce dynamic gate set and paging mechanisms to implement the instructions. To evaluate the functionality and performance of these two instructions, we implement a two-qubit version of an algorithm to study a disorder-induced metal-insulator transition and run 60 random instances of it, each of which realizes one disorder configuration and contains 40 two-qubit instructions (or gates) and 104 single-qubit instructions. We observe the expected quantum dynamics of the time-evolution of this system.

Published
2020
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5. Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry

Author

Jitendra PS. Sawhney, Veerappa A. Kothiwale, Vikas Bisne, Rajashekhar Durgaprasad, Praveen Jadhav, Manoj Chopda, Velam Vanajakshamma, Ramdhan Meena, Govindan Vijayaraghavan, Kamaldeep Chawla, Jagan Allu, Karen S. Pieper, A. John Camm, Ajay K. Kakkar, Jean-Pierre Bassand, David A. Fitzmaurice, Samuel Z. Goldhaber, Shinya Goto, Sylvia Haas, Werner Hacke, Lorenzo G. Mantovani, Frank Misselwitz, Alexander G.G. Turpie, Martin van Eickels, Freek W.A. Verheugt, Gloria Kayani, Keith A.A. Fox, Bernard J. Gersh, Hector Lucas Luciardi, Harry Gibbs, Marianne Brodmann, Frank Cools, Antonio Carlos Pereira Barretto, Stuart J. Connolly, Alex Spyropoulos, John Eikelboom, Ramon Corbalan, Dayi Hu, Petr Jansky, Jørn Dalsgaard Nielsen, Hany Ragy, Pekka Raatikainen, Jean-Yves Le Heuzey, Harald Darius, Matyas Keltai, Sanjay Kakkar, Jitendra Pal Singh Sawhney, Giancarlo Agnelli, Giuseppe Ambrosio, Yukihiro Koretsune, Carlos Jerjes Sánchez Díaz, Hugo Ten Cate, Dan Atar, Janina Stepinska, Elizaveta Panchenko, Toon Wei Lim, Barry Jacobson, Seil Oh, Xavier Viñolas, Marten Rosenqvist, Jan Steffel, Pantep Angchaisuksiri, Ali Oto, Alex Parkhomenko, Wael Al Mahmeed, David Fitzmaurice, D.Y. Hu, K.N. Chen, Y.S. Zhao, H.Q. Zhang, J.Z. Chen, S.P. Cao, D.W. Wang, Y.J. Yang, W.H. Li, Y.H. Yin, G.Z. Tao, P. Yang, Y.M. Chen, S.H. He, Ying Wang, Yong Wang, G.S. Fu, X. Li, T.G. Wu, X.S. Cheng, X.W. Yan, R.P. Zhao, M.S. Chen, L.G. Xiong, P. Chen, Y. Jiao, Y. Guo, L. Xue, F.Z. Wang, H. Li, Z.M. Yang, C.L. Bai, J. Chen, J.Y. Chen, X. Chen, S. Feng, Q.H. Fu, X.J. Gao, W.N. Guo, R.H. He, X.A. He, X.S. Hu, X.F. Huang, B. Li, J. Li, L. Li, Y.H. Li, T.T. Liu, W.L. Liu, Y.Y. Liu, Z.C. Lu, X.L. Luo, T.Y. Ma, J.Q. Peng, X. Sheng, X.J. Shi, Y.H. Sun, G. Tian, K. Wang, L. Wang, R.N. Wu, Q. Xie, R.Y. Xu, J.S. Yang, L.L. Yang, Q. Yang, Y. Ye, H.Y. Yu, J.H. Yu, T. Yu, H. Zhai, Q. Zhan, G.S. Zhang, Q. Zhang, R. Zhang, Y. Zhang, W.Y. Zheng, B. Zhou, Z.H. Zhou, X.Y. Zhu, S. Kakkar, J.P.S. Sawhney, P. Jadhav, R. Durgaprasad, A.G. Ravi Shankar, R.K. Rajput, K. Bhargava, R. Sarma, A. Srinivas, D. Roy, U.M. Nagamalesh, M. Chopda, R. Kishore, G. Kulkarni, P. Chandwani, R.A. Pothiwala, M. Padinhare Purayil, S. Shah, K. Chawla, V.A. Kothiwale, B. Raghuraman, G. Vijayaraghavan, V.M. Vijan, G. Bantwal, V. Bisne, A. Khan, J.B. Gupta, S. Kumar, D. Jain, S. Abraham, D. Adak, A. Barai, H. Begum, P. Bhattacharjee, M. Dargude, D. Davies, B. Deshpande, P. Dhakrao, V. Dhyani, S. Duhan, M. Earath, A. Ganatra, S. Giradkar, V. Jain, R. Karthikeyan, L. Kasala, S. Kaur, S. Krishnappa, A. Lawande, B. Lokesh, N. Madarkar, R. Meena, P. More, D. Naik, K. Prashanth, M. Rao, N.M. Rao, N. Sadhu, D. Shah, M. Sharma, P. Shiva, S. Singhal, S. Suresh, V. Vanajakshamma, S.G. Panse, Y. Koretsune, S. Kanamori, K. Yamamoto, K. Kumagai, Y. Katsuda, K. Sadamatsu, F. Toyota, Y. Mizuno, I. Misumi, H. Noguchi, S. Ando, T. Suetsugu, M. Minamoto, Hiroshi Oda, K. Shiraishi, S. Adachi, K. Chiba, H. Norita, M. Tsuruta, T. Koyanagi, H. Ando, T. Higashi, K. Okada, S. Azakami, S. Komaki, K. Kumeda, T. Murayama, J. Matsumura, Y. Oba, R. Sonoda, K. Goto, K. Minoda, Y. Haraguchi, H. Suefuji, H. Miyagi, H. Kato, Tadashi Nakamura, Tsugihiro Nakamura, H. Nandate, R. Zaitsu, Yoshihisa Fujiura, A. Yoshimura, H. Numata, J. Ogawa, H. Tatematsu, Y. Kamogawa, K. Murakami, Y. Wakasa, M. Yamasawa, H. Maekawa, S. Abe, H. Kihara, S. Tsunoda, Katsumi Saito, Kazuyuki Saito, T. Fudo, K. Obunai, H. Tachibana, I. Oba, T. Kuwahata, S. Higa, M. Gushiken, T. Eto, H. Yoshida, D. Ikeda, Yoshitake Fujiura, M. Ishizawa, M. Nakatsuka, K. Murata, C. Ogurusu, M. Shimoyama, M. Akutsu, I. Takamura, F. Hoshino, N. Yokota, T. Iwao, K. Tsuchida, M. Takeuchi, Y. Hatori, Y. Kitami, Yoichi Nakamura, R. Oyama, M. Ageta, Hiroyuki Oda, Y. Go, K. Mishima, T. Unoki, S. Morii, Yuhei Shiga, H. Sumi, T. Nagatomo, K. Sanno, K. Fujisawa, Y. Atsuchi, T. Nagoshi, T. Seto, T. Tabuchi, M. Kameko, K. Nii, K. Oshiro, H. Takezawa, S. Nagano, N. Miyamoto, M. Iwaki, Yuichiro Nakamura, M. Fujii, M. Okawa, Masahiko Abe, Masatake Abe, Mitsunori Abe, T. Saito, T. Mito, K. Nagao, J. Minami, T. Mita, I. Sakuma, T. Taguchi, S. Marusaki, H. Doi, M. Tanaka, T. Fujito, M. Matsuta, T. Kusumoto, S. Kakinoki, K. Ashida, N. Yoshizawa, J. Agata, O. Arasaki, M. Manita, M. Ikemura, S. Fukuoka, H. Murakami, S. Matsukawa, Y. Hata, T. Taniguchi, T. Ko, H. Kubo, M. Imamaki, M. Akiyama, M. Inagaki, H. Odakura, T. Ueda, Y. Katsube, A. Nakata, H. Watanabe, M. Techigawara, M. Igarashi, K. Taga, T. Kimura, S. Tomimoto, M. Shibuya, M. Nakano, K. Ito, T. Seo, S. Hiramitsu, H. Hosokawa, M. Hoshiai, M. Hibino, K. Miyagawa, Hajime Horie, N. Sugishita, Yukio Shiga, A. Soma, K. Neya, Tetsuro Yoshida, Tomoki Yoshida, M. Mizuguchi, M. Ishiguro, T. Minagawa, M. Wada, H. Mukawa, F. Okuda, S. Nagasaka, Y. Abe, Sen Adachi, Susumu Adachi, T. Adachi, K. Akahane, T. Amano, K. Aoki, T. Aoyama, H. Arai, S. Arima, T. Arino, H. Asano, T. Asano, J. Azuma, T. Baba, T. Betsuyaku, H. Chibana, H. Date, J. Doiuchi, Y. Emura, M. Endo, Y. Fujii, R. Fujiki, A. Fujisawa, Y. Fujisawa, T. Fukuda, T. Fukui, N. Furukawa, T. Furukawa, W. Furumoto, T. Goto, M. Hamaoka, N. Hanazono, K. Hasegawa, T. Hatsuno, Y. Hayashi, K. Higuchi, K. Hirasawa, H. Hirayama, M. Hirose, S. Hirota, M. Honda, Hideki Horie, T. Ido, O. Iiji, H. Ikeda, K. Ikeda, K. Ikeoka, M. Imaizumi, H. Inaba, T. Inoue, F. Iseki, A. Ishihara, N. Ishioka, N. Ito, T. Iwase, H. Kakuda, J. Kamata, H. Kanai, H. Kanda, M. Kaneko, H. Kano, T. Kasai, T. Kato, Y. Kato, Y. Kawada, K. Kawai, K. Kawakami, S. Kawakami, T. Kawamoto, S. Kawano, J. Kim, T. Kira, H. Kitazawa, H. Kitazumi, T. Kito, T. Kobayashi, T. Koeda, J. Kojima, H. Komatsu, I. Komatsu, Y. Koshibu, T. Kotani, T. Kozuka, Y. Kumai, T. Kumazaki, I. Maeda, K. Maeda, Y. Maruyama, S. Matsui, K. Matsushita, Y. Matsuura, K. Mineoi, H. Mitsuhashi, N. Miura, S. Miyaguchi, S. Miyajima, H. Miyamoto, A. Miyashita, S. Miyata, I. Mizuguchi, A. Mizuno, T. Mori, O. Moriai, K. Morishita, O. Murai, Sho Nagai, Shunichi Nagai, E. Nagata, H. Nagata, A. Nakagomi, S. Nakahara, M. Nakamura, R. Nakamura, N. Nakanishi, T. Nakayama, R. Nakazato, T. Nanke, J. Nariyama, Y. Niijima, H. Niinuma, Y. Nishida, Y. Nishihata, K. Nishino, H. Nishioka, K. Nishizawa, I. Niwa, K. Nomura, S. Nomura, M. Nozoe, T. Ogawa, N. Ohara, M. Okada, K. Okamoto, H. Okita, M. Okuyama, H. Ono, T. Ono, Y. Onuki Pearce, S. Oriso, A. Ota, E. Otaki, Y. Saito, H. Sakai, N. Sakamoto, Y. Sakamoto, Y. Samejima, Y. Sasagawa, H. Sasaguri, A. Sasaki, T. Sasaki, Kazuki Sato, Kiyoharu Sato, M. Sawano, S. Seki, Y. Sekine, Y. Seta, K. Sezaki, N. Shibata, Y. Shiina, H. Shimono, Y. Shimoyama, T. Shindo, H. Shinohara, R. Shinohe, T. Shinozuka, T. Shirai, T. Shiraiwa, Y. Shozawa, T. Suga, C. Sugimoto, Kazuo Suzuki, Keita Suzuki, Shu Suzuki, Shunji Suzuki, Susumu Suzuki, Y. Suzuki, M. Tada, A. Taguchi, T. Takagi, Y. Takagi, K. Takahashi, S. Takahashi, H. Takai, C. Takanaka, S. Take, H. Takeda, K. Takei, K. Takenaka, T. Tana, G. Tanabe, K. Taya, H. Teragawa, S. Tohyo, S. Toru, Y. Tsuchiya, T. Tsuji, K. Tsuzaki, H. Uchiyama, O. Ueda, Y. Ueyama, N. Wakaki, T. Wakiyama, T. Washizuka, M. Watanabe, T. Yamada, T. Yamagishi, H. Yamaguchi, Kenichi Yamamoto, Kentaro Yamamoto, Kunihiko Yamamoto, T. Yamamoto, M. Yamaura, M. Yamazoe, K. Yasui, Y. Yokoyama, K. Yoshida, T.W. Lim, C.K. Ching, C.G. Foo, J.H. Chow, D.D. Chen, F.R. Jaufeerally, Y.M. Lee, G. Lim, W.T. Lim, S. Thng, S.Y. Yap, C. Yeo, S. Oh, H.N. Pak, J.-B. Kim, J.H. Kim, S.-W. Jang, D.H. Kim, D.R. Ryu, S.W. Park, D.-K. Kim, D.J. Choi, Y.S. Oh, M.-C. Cho, S.-H. Kim, H.-K. Jeon, D.-G. Shin, J.S. Park, H.K. Park, S.-J. Han, J.H. Sung, J.-G. Cho, G.-B. Nam, Y.K. On, H.E. Lim, J.J. Kwak, T.-J. Cha, T.J. Hong, S.H. Park, J.H. Yoon, N.-H. Kim, K.-S. Kim, B.C. Jung, G.-S. Hwang, C.-J. Kim, D.B. Kim, J.J. Ahn, H.J. An, H. Bae, A.L. Baek, W.J. Chi, E.A. Choi, E.H. Choi, H.K. Choi, H.S. Choi, S. Han, E.S. Heo, K.O. Her, S.W. Hwang, E.M. Jang, H.-S. Jang, S. Jang, H.-G. Jeon, S.R. Jeon, Y.R. Jeon, H.K. Jeong, I.-A. Jung, Hyeon Jeong Kim, Hyun Ju Kim, Ji Seon Kim, Jung Sook Kim, J.A. Kim, K.T. Kim, M.S. Kim, Sang Hee Kim, Sang Hyun Kim, Y.-I. Kim, C.S. Lee, E.H. Lee, G.H. Lee, H.Y. Lee, H.-Y. Lee, K.H. Lee, K.R. Lee, M.S. Lee, M.-Y. Lee, R.W. Lee, S.E. Lee, S.H. Lee, S. Lee, W.Y. Lee, I.K. Noh, A.R. Park, B.R. Park, H.N. Park, J.H. Park, M. Park, Y. Park, S.-Y. Seo, J. Shim, J.H. Sim, Y.M. Sohn, W.S. Son, Y.S. Son, H.J. Song, H.K. Wi, J.J. Woo, S. Ye, K.H. Yim, K.M. Yoo, E.J. Yoon, S.Y. Yun, P. Angchaisuksiri, S. Chawanadelert, P. Mongkolwongroj, K. Kanokphatcharakun, S. Cheewatanakornkul, T. Laksomya, S. Pattanaprichakul, T. Chantrarat, S. Rungaramsin, S. Silaruks, W. Wongcharoen, K. Siriwattana, K. Likittanasombat, P. Katekangplu, W. Boonyapisit, D. Cholsaringkarl, B. Chatlaong, P. Chattranukulchai, Y. Santanakorn, P. Hutayanon, P. Khunrong, T. Bunyapipat, S. Jai-Aue, P. Kaewsuwanna, P. Bamungpong, S. Gunaparn, S. Hongsuppinyo, R. Inphontan, R. Khattaroek, K. Khunkong, U. Kitmapawanont, C. Kongsin, B. Naratreekoon, S. Ninwaranon, J. Phangyota, A. Phrommintikul, P. Phunpinyosak, K. Pongmorakot, S. Poomiphol, N. Pornnimitthum, S. Pumprueg, S. Ratchasikaew, K. Sanit, K. Sawanyawisuth, B. Silaruks, R. Sirichai, A. Sriwichian, W. Suebjaksing, P. Sukklad, T. Suttana, A. Tangsirira, O. Thangpet, W. Tiyanon, Y. Vorasettakarnkij, T. Wisaratapong, W. Wongtheptien, A. Wutthimanop, S. Yawila, A. Oto, A. Altun, I. Ozdogru, K. Ozdemir, O. Yilmaz, A. Aydinlar, M.B. Yilmaz, E. Yeter, Z. Ongen, M. Cayli, H. Pekdemir, M. Ozdemir, M. Sucu, T. Sayin, M. Demir, H. Yorgun, M. Ersanli, E. Okuyan, D. Aras, H. Abdelrahman, O. Aktas, D. Alpay, F. Aras, M.F. Bireciklioglu, S. Budeyri, M. Buyukpapuc, S. Caliskan, M. Esen, M.A. Felekoglu, D. Genc, B. Ikitimur, E.B. Karaayvaz, S. Kılıç Karataş, S. Okutucu, E. Ozcelik, A. Quisi, H. Sag, L. Sahiner, B.Y. Sayin, T. Seker, D. Uzun Alkan, E. Yildirim, R. Yildirim, F. Yilmaz, V. Yuksekdag, H.L. Luciardi, N. Vensentini, A.C. Ingaramo, G.A. Sambadaro, V. Fernandez Caputi, S.G. Berman, P. Dragotto, A.J. Kleiban, N. Centurion, G. Giacomi, R.A. Ahuad Guerrero, D. Conde, G. Zapata, L.A. Di Paola, J.L. Ramos, R.D. Dran, J. Egido, A.A. Fernandez, M.J. Fosco, S. Sassone, V.A. Sinisi, L.R. Cartasegna, M.A. Berli, O.A. Gomez Vilamajo, F. Ferroni, E.D. Alaguibe, A. Alvarez D'Amelio, C. Arabetti, L. Arias, J.A. Belardi, L. Bergesio, F. Berli, M. Berli, S. Borchowiec, C. Buzzetti, R. Cabrini, V. Campisi, A.L. Cappi, R. Carrizo, F. Colombo Berra, J.P. Costabel, O.J.A. Costamagna, A.A. Damonte, I.N. De Urquiza, F. Diez, M.F. Edén, M. Fanuele, F. Fernandez Voena, M. Foa Torres, C. Funosas, M.P. Giacomi, C.H. Gimenez, E.P. Gurfinkel, M. de L.M. Had, V. Hansen, A.D. Hrabar, M. Ingratta, A. Lopez, G. Maehara, L. Maffei, A. Martinelli, C. Martinelli, J. Matkovich, B. Mautner, A. Meirino, R. Munguia, A. Navarro, V. Novas, G. Perez Prados, J. Pontoriero, R.N. Potito, C. Ricotti, M.A. Rodriguez, F. Rolandi, M.E. Said Palladino, M. Salinger, L.S. Sanziani, P.O. Schygiel, A. Sossich, J.F. Tinto, L. Tonelli, A.L. Tufare, M. Vallejo, M.E. Yunis, M. Zillo, F.J. Zurbrigk, A.C.P. Barretto, D.C. Sobral Filho, J. Jaber, D. Armaganijan, J. Faria Neto, A. Steffens, W. Kunz Sebba Barroso de Souza, J.D. de Souza Neto, J.M. Ribeiro, M. Silveira Teixeira, P.R. Ferreira Rossi, L. Pires, D. Moreira, J.C. Moura Jorge, A. Menezes Lorga Filho, L.C. Bodanese, M. Westerlund Montera, C.H. Del Carlo, T. Da Rocha Rodrigues, F.A. Alves da Costa, A. Lopes, R. Lopes, G.R. Araújo, E.R. Fernandes Manenti, J.F. Kerr Saraiva, J.C. Ferreira Braga, A. Negri, L. Souto, C. Moncada, D. Bertolim Precoma, F. Roquette, G. Reis, R.A. Ramos Filho, E. Lanna Figueiredo, R. Vieira Botelho, C. Munhoz da Fontoura Tavares, C.R. Costantini Frack, J. Abdalla Saad, H.C. Finimundi, C. Pisani, D. Chemello, M. Pereira Martins, C.C. Broilo França, F. Alban, G.B. Aranha Rosito, J.B. de Moura Xavier Moraes Junior, R.T. Tumelero, L. Nigro Maia, R. Simões de Almeida, N.C. do Carmo Borges, L.G. Gomes Ferreira, P. Agliardi, J. Alves de Oliveira Gomes, V. Araujo, M. Arruda Nakazone, T. Barbosa, S. Barroso, E. Belisario Falchetto, H. Bellotti Lopes, M.A. Benez Teixeira Lemos, G. Biazus, L. Borges Queiroz, F.E. Camazzola, M. Caporale, S. Cardoso Boscato, F. Chieza, M.O. Chokr, R. Clemente Mingireanov, N. Codonho Góes, C. Correa, M. Costa, C. Costantini Ortiz, L.S. da Silva, F. da Silva Paulitsch, J.A. da Silveira, E. Daros, G.R. de Araújo, M.I. Del Monaco, C. Dias, M.A. Dias, A.P. Drummond Wainstein, P. Ely Pizzato, D.C. Esteves, P. Fabri, T. 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Almeida Fernández, N. Del Val Plana, E. Escrivá Montserrat, J.J. Montero Alía, M. Barreda González, M.A. Moleiro Oliva, J. Iglesias Sanmartín, M. Jiménez González, M. Rodriguez Álvarez, J. Herreros Melenchon, T. Ripoll Vera, F. Ridocci Soriano, L. Garcia Riesco, M.D. Marco Macian, J. Quiles Granado, M. Jimenez Navarro, J. Cosin Sales, J.V. Vaquer Perez, M. Vazquez Caamano, M.F. Arcocha Torres, G. Marcos Gomez, A. Iñiguez Romo, M.A. Prieto Diaz, Carmela Alonso, Concepcion Alonso, D. Alvarez, M. Alvarez, M. Amaro, N. Andere, J. Aracil Villar, R. Armitano Ochoa, A. Austria, S. Barbeira, E. Barraquer Feu, A. Bartes, V. Becerra Munoz, F.J. Bermudez Jimenez, A. Branjovich Tijuan, J. Cabeza Ramirez, M. Cabrera Ramos, E. Calvo Martinez, M. Campo Moreno, G. Cancho Corchado, M. Casanova Gil, M. Castillo Orive, D. Castro Fernandez, M. Cebollada del Misterio, R. Codinachs Alsina, A. Cortada Cabrera, J. Costa Pinto Prego de Faria, S. Costas, M.I. Cotilla Marco, M. Dachs, C.M. Diaz Lopez, A. Domenech Borras, A. Elorriaga Madariaga, A. Espallargas, M. Fernandez, E. Fernandez Escobar, E. Fernandez Mas, A. Ferrer, J. Fosch, M. Garcia Bermudez, V. Garcia Millan, M. Gavira Saenz, C. Gines Garcia, C. Gomez, Y. Gomez Perez, A. Gonzales Segovia, P. Gonzalez, L. Grigorian, A. Guerrero Molina, M. del C. Gutierrez del Val, B. Herrero Maeso, E. Hevia Rodriguez, A. Iglesias Garcia, M.J. Jimenez Fernandez, B. Jimeno Besa, P. Juan Salvadores, M.B. Lage Bouzamayor, I. Lasuncion, L.E. Lezcano Gort, M. Llobet Molina, M. Lopez, A. Manzanal Rey, J. Mara Guerra, S. Marcus, A. Martin Vila, M. Martinez Mena, P. Mazon, F. Mendez Zurita, G. Millán, M. Molina, P. Montero Alia, D. Montes, M. Moure Gonzalez, R.B. Munoz Munoz, A. Negrete Palma, H.N. Orellana Figueroa, V.M. Ortega, C. Ortiz Cortes, D. Otero Tomera, N. Palomo Merchan, I. Pareja Ibar, E. Pena Garcia, M. Pereda Armayor, M. Perez Carasa, I. Prieto, V. Quintern, R. Renom, L.M. Rincon Diaz, V. Rios, L. Riquelme Sola, R. Rivera, X. Robiro Robiro, M. Roca, C. Roca Saumell, C. Rodrigo, E. Rodriguez, M. Rodriguez Garcia, S. Saez Jimenez, P. Sanchez Calderon, L. Sanchez Mendez, S. Sanchez Parra, C. Santolaya, M.R. Senan Sanz, A. Seoane Blanco, E. Serralvo, N. Sierra, C. Simon Valero, J. Sorribes Lopez, M. Teixido Fontanillas, M. Terns Riera, G. Tobajas, C. Torres, J. Torres Marques, M. Ubeda Pastor, M. Rosenqvist, A. Wirdby, J. Linden, K. Henriksson, M. Elmersson, A. Egilsson, U. Börjesson, G. Svärd, B. Liu, A. Lindh, L.-B. Olsson, M. Gustavsson, Lars Andersson, Lisbeth Andersson, L. Benson, C. Bothin, A. Hajimirsadeghi, K. Kadir, M. Ericsson, A. Ohlsson, H. Lindvall, P. Svensson, K. Thorne, H. Handel, P. Platonov, B. Eriksson, I. Timberg, K. Romberg, M. Crisby, J.-E. Karlsson, S.A. Jensen, A. Andersson, L. Malmqvist, B. Martinsson, F. Bernsten, J. Engdahl, J. Thulin, A. Hot-Bjelac, P. Stalby, H. Aaröe, E. Ahbeck, H. Ahlmark, F. Al-Khalili, G. Bonkowski, S. Dzeletovic, A.-B. Ekstrand, G.-B. Eriksson, K. Floren, C. Grässjö, S. Hahn, P. Jaensson, B. Jansson, J.-H. Jansson, R.-M. Kangert, A. Koch, D. Kusiak, A. Lettenström, A. Lindberg, C.-J. Lindholm, A. Mannermyr, K. Mansson, M. Millborg, C. Nilsson, A.-M. Ohlin, A. Olofsson, A. Osberg, A. Pedersen, K. Risbecker, K. Rosenberg, J. Samuelsson, M. Shayesteh, K. Skoglund, M. Stjernberg, C. Thorsen, J. Steffel, J.H. Beer, J. Debrunner, D. Amstutz, J. Bruegger, G. Elise, A. Grau, A. Guinand, I. Henriette, E. Saga, S. Winnik, A. Parkhomenko, I. Rudyk, V. Tseluyko, O. Karpenko, S. Zhurba, I. Kraiz, I. Kupnovytska, N. Serediuk, Y. Mostovoy, O. Ushakov, O. Koval, I. Kovalskyi, Y. Svyshchenko, O. Sychov, M. Stanislavchuk, O. Kraydashenko, A. Yagensky, S. Tykhonova, I. Fushtey, R. Belegai, G. Berko, L. Burdeuna, O. Chabanna, I. Daniuk, A. Ivanov, E. Kamenska, P. Kaplan, O. Khyzhnyak, S. Kizim, O. Matova, O. Medentseva, V. Mochonyi, M. Mospan, V. Nemtsova, T. Ovdiienko, O. Palamarchuk, M. Pavelko, R. Petrovskyy, D. Plevak, O. Proshak, S. Pyvovar, L. Rasputina, O. Romanenko, O. Romanova, A. Sapatyi, O. Shumakov, R. Stets, L. Todoriuk, V. Varenov, D. Fitzmaurice, N. Chauhan, D. Goodwin, P. Saunders, R. Evans, J. Leese, P.S. Jhittay, A. Ross, M.S. Kainth, G. Pickavance, J. McDonnell, A. Williams, T. Gooding, H. Wagner, S. Suryani, A. Singal, S. Sircar, R. Bilas, P. Hutchinson, A. Wakeman, M. Stokes, N. Paul, M. Aziz, C. Ramesh, P. Wilson, S. Franklin, S. Fairhead, J. Thompson, V. St Joseph, G. Taylor, D. Tragen, D. Seamark, C. Paul, M. Richardson, A. Jefferies, H. Sharp, H. Jones, C. Giles, M. Page, O. Oginni, J. Aldegather, S. Wetherwell, W. Lumb, P. Evans, F. Scouller, N. Macey, Y. Stipp, R. West, S. Thurston, P. Wadeson, J. Matthews, P. Pandya, A. Gallagher, T. Railton, B. Sinha, D. Russell, J.A. Davies, P. Ainsworth, C.P. Jones, P. Weeks, J. Eden, D. Kernick, W. Murdoch, L. Lumley, R.P. Patel, S.W. Wong, M. Saigol, K. Ladha, K. Douglas, D.F. Cumberlidge, C. Bradshaw, G. Van Zon, K.P. Jones, M.J. Thomas, E. Watson, B. Sarai, N. Ahmad, W. Willcock, J. Cairns, S. Sathananthan, N. de Kare-Silver, A. Gilliland, E. Strieder, A. Howitt, B. Vishwanathan, N. Bird, D. Gray, M. Clark, J. Bisatt, J. Litchfield, E. Fisher, T. Fooks, A.R. Kelsall, E. Alborough, J. Wakeling, M. Parfitt, K. Milne, S. Rogers, R. Priyadharshan, J.L. Oliver, E. Davies, S. Abushal, M. Jacobs, C. Hutton, N.I. Walls, R. Thompson, C. Chigbo, S.M.A. Zaidi, M. Howard, K.C. Butter, S. Barrow, H. Little, I.U. Haq, L. Gibbons, S. Glencross, A.J. McLeod, K. Poland, C. Mulholland, A. Warke, P. Conn, G. Burns, R.N. Smith, S. Lowe, R. Kamath, H.S. Dau, J. Webster, I. Hodgins, S. Vercoe, P.C. Roome, H. Pinnock, J.R.A. Patel, A. Ali, N. Hart, R. Davies, E. Stuart, C.A. Neden, M. Danielsen, R. Heath, P. Sharma, S. Galloway, C. Hawkins, R. Oliver, M. Aylward, S. Mannion, M. Braddick, D. Edwards, A.C. Rothwell, A. Sabir, F. Choudhary, S. Khalaque, A. Wilson, S. Peters, W. Coulson, N. Roberts, A. Heer, S. Coates, B. Ward, D. Jackson, S. Walton, D. Shepherd, M. Sterry, T. Wong, M. Boon, R. Bunney, R. Haria-Shah, R.T. Baron, S. Davies, T. Schatzberger, N. Hargreaves, T. Stephenson, H. Choi, R. Batson, L. Lucraft, T. Myhill, S. Estifano, D. Geatch, J. Wilkinson, R. Veale, K. Forshaw, T. Davies, K. Zaman, P. Vinson, C. Liley, M. Bandrapalli, P. McGinty, R. Wastling, P. McEleny, A. Beattie, P. Cooke, M. Wong, J. Gunasegaram, M. Pugsley, S. Ahmad, C. A'Court, J. Ayers, J. Bennett, S. Cartwright, S. Dobson, C. Dooldeniya, A. Flynn, R. Fox, J. Goram, A. Halpin, A. Hay, P. Jacobs, L. Jeffers, L. Lomax, I. Munro, R. Muvva, M. Nadaph, K. Powell, S. Randfield, D. Redpath, R. Reed, M. Rickenbach, G. Rogers, P.B. Saunders, C. Seamark, J. Shewring, P. Simmons, H. Simper, H. Stoddart, A. Sword, N. Thomas, A. Thomson, H. Gibbs, A. Blenkhorn, B. Singh, W. Van Gaal, W. Abhayaratna, R. Lehman, P. Roberts-Thomson, J. Kilian, D. Coulshed, A. Catanchin, D. Colquhoun, H. Kiat, D. Eccleston, J. French, L. Zimmett, B. Ayres, T. Phan, P. Blombery, D. Crimmins, D. O'Donnell, A. Choi, P. Astridge, M. Arstall, N. Jepson, M. Binnekamp, A. Lee, J. Rogers, G. Starmer, P. Carroll, J. Faunt, A. Aggarwala, L. Barry, C. Batta, R. Beveridge, A. Black, M. Bonner, J. Boys, E. Buckley, M. Campo, L. Carlton, A. Connelly, B. Conway, D. Cresp, H. Dimitri, S. Dixon, M. Dolman, M. Duroux, M. Eskandari, R. Eslick, A. Ferreira-Jardim, T. Fetahovic, D. Fitzpatrick, R. Geraghty, J. Gibbs, T. Grabek, M.H. Modi, K. Hayes, M.P. Hegde, L. Hesketh, B. Hoffmann, B. Jacobson, K. Johnson, C. Juergens, I. Kassam, V. Lawlor, M. Lehman, S. Lehman, D. Leung, S. Mackay, M. MacKenzie, C. McCarthy, C. McIntosh, L. McKeon, H. Morrison, C. Mussap, J.-D. Myers, V. Nagalingam, G. Oldfield, V. O'May, J. Palmer, L. Parsons, K. Patching, T. Patching, V. Paul, M. Plotz, S. Preston, H. Rashad, M. Ratcliffe, S. Raynes, J. Rose, L. Sanders, M. Seremetkoska, H. Setio, S. Shone, P. Shrestha, C. Singh, C. Singleton, N. Stoyanov, S. Sutcliffe, K. Swaraj, J. Tarrant, S. Thompson, I.M. Tsay, M. Vorster, A. Waldman, L. Wallis, E. Wilford, K. Wong, S.J. Connolly, A. Spyropoulos, J. Eikelboom, R. Luton, M. Gupta, A.S. Pandey, S. Cheung, R. Leader, P. Beaudry, F. Ayala-Paredes, J. Berlingieri, J. Heath, G. Poirier, M. Du Preez, R. Nadeau, G. Dresser, R. Dhillon, T. Hruczkowski, B. Schweitzer, B. Coutu, P. Angaran, P. MacDonald, S. Vizel, S. Fikry, R. Parkash, A. Lavoie, J. Cha, B. Ramjattan, J. Bonet, K. Ahmad, L. Aro, T. Aves, K. Beaudry, C. Bergeron, J. Bigcanoe, N. Bignell, L. Breakwell, E. Burke, L. Carroll, B. Clarke, T. Cleveland, S. Daheb, P. Dehghani, I. Denis, Z. Djaidani, P. Dorian, S. Douglass, J. Dunnigan, A. Ewert, D. Farquhar, A. Fearon, L. Ferleyko, D. Fournier, B. Fox, M.-C. Grenier, W. Gulliver, K. Haveman, C. Hines, K. Hines, A.M. Jackson, C. Jean, G. Jethoo, R. Kahlon, S. Kelly, R. Kim, V. Korley, J. Kornder, L. Kwan, J. Largy, C. Lewis, S. Lewis, I. Mangat, R. Moor, J. Navratil, I. Neas, J. Otis, R. Otis, M. Pandey, F. Petrie, A. Pinter, M. Raines, P. Roberts, M. Robinson, G. Sas, S. Schulman, L. Snell, S. Spearson, J. Stevenson, T. Trahey, S. Wong, D. Wright, H. Ragy, A. Abd El-Aziz, S.K. Abou Seif, M.G. El Din, S. El Etriby, A. Elbahry, A. El-Etreby, M. Elkhadem, A. Katta, T. Khairy, A. Mowafy, M. Nawar, A. Ohanissian, A. Reda, M. Reda, H. Salem, N. Sami, S. Samir, M. Setiha, M. Sobhy, A. Soliman, N. Taha, M. Tawfik, E. Zaatout, D. Kettles, J. Bayat, H. Siebert, A. Horak, Y. Kelfkens, R. Garda, T. Pillay, M. Guerra, L. van Zyl, H. Theron, A. Murray, R. Louw, D. Greyling, P. Mntla, V. Ueckermann, R. Loghdey, S. Ismail, F. Ahmed, J. Engelbrecht, A. Ramdass, S. Maharajh, W. Oosthuysen, G. Angel, C. Bester, M. Booysen, C. Boshoff, C. Cannon, S. Cassimjee, C. Chami, G. Conway, A. Davids, L. de Meyer, G. Du Plessis, T. Ellis, L. Henley, M. Karsten, E. Loyd, J. Marks, L. Mavhusa, M. Mostert, A. Page, L. Rikhotso, M. Salie, J. Sasto, F. Shaik, A. Skein, L. Smith, G. Tarr, T. Tau, F. van Zyl, W. Al Mahmeed, G. Yousef, A. Agrawal, M. Nathani, M. Ibrahim, E.M. Esheiba, R. Singh, A. Naguib, M. Abu-Mahfouz, M. Al Omairi, A. Al Naeemi, R. Maruthanayagam, N. Bazargani, A. Wassef, R. Gupta, M. Khan, B. Subbaraman, A. Abdul, A. Al Mulla, S. El Bardisy, P. Haridas, S. Jadhav, K. Magdaluyo, M. Makdad, I. Maqsood, R. Mohamed, N. Sharma, R. Sharma, M. Thanzeel, S.Z. Goldhaber, R. Canosa, P. Rama, E. Blumberg, J. Garcia, P. Mullen, V. Wilson, A. Quick, K. Ferrick, W.M. Kutayli, M. Cox, M. Franco, S. Falkowski, R. Mendelson, M. Williams, S. Miller, S. Beach, A. Alfieri, T. Gutowski, I. Haque, R. Reddy, W. Ahmed, P. Delafontaine, D. Diercks, D. Theodoro, K. Remmel, M. Alberts, R. Ison, H. Noveck, P. Duffy, S. Pitta, D. Nishijima, C. Treasure, N. Asafu-Adjaye, K. Ball, M. Bartlett, M. Bentley, S. Bowers, A. Brown, A. Browne, J. Cameron-Watts, M. Canova, D. Cassidy, K. Cervellione, S. Congal, J. DePauw, A. Dickerson, M. Eley, L. Evans, S. Felpel, K. Ferdinand, D. Fielder, P. Gentry, A. Haideri, F. Hakimi, T. Harbour, E. Hartranft, B. Hawkins, M. Headlee, L. Henson, C. Herrick, T. Hicks, S. Jasinski, A. Jones, L. Jones, P. Jones, S. Karl, M. Keeling, J. Kerr, P. Knowles, J. Langdon, M. Lay, J.A. Lee, T. Lincoln, E. Malone, A. Merliss, D. Merritt, J. Minardo, B. Mooso, C. Orosco, V. Palumbo, M. Parker, T. Parrott, S. Paserchia, G. Pearl, J. Peterson, N. Pickelsimer, T. Purcell, J. Raynor, S. Raziano, C. Richard, T. Richardson, C. Robertson, A. Sage, T. Sanghera, P. Shaw, J. Shoemaker, K. Smith, B. Stephanie, A. Thatcher, H. Theobald, N. Thompson, L. Treasure, T. Tripti, C. Verdi, and V. Worthy

Subjects
Surgery, RD1-811, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background: The Global Anticoagulant Registry in the FIELD–Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. Methods and results: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012–2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P

Published
2018
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6. Rivaroxaban Monotherapy in Patients With Atrial Fibrillation After Coronary Stenting

Author

Tetsuya Matoba, Satoshi Yasuda, Koichi Kaikita, Masaharu Akao, Junya Ako, Masato Nakamura, Katsumi Miyauchi, Nobuhisa Hagiwara, Kazuo Kimura, Atsushi Hirayama, Kunihiko Matsui, Hisao Ogawa, Yukihiro Koretsune, Takafumi Hiro, Tetsuya Sumiyoshi, Kazumi Kimura, Yoichiro Hashimoto, Teruyuki Hirano, Hiroyuki Daida, Yasushi Okada, Tsutomu Yamazaki, A. Nakamura, E. Tamiya, T. Yamamoto, S. Suetake, T. Noguchi, S. Nakamura, A. Matsumura, J. Kojima, S. Suwa, H. Yamaguchi, K. Kaikita, T. Yasu, A. Nakajima, T. Yamada, H. Arai, Y. Hata, T. Sakanashi, H. Tateishi, T. Nakayama, Y. Nozaki, M. Akao, Y. Okumura, M. Tokue, N. Kuroki, Y. Maruyama, T. Matoba, N. Hagiwara, H. Suzuki, Y. Nishida, M. Ajioka, K. Yumoto, S. Shimizu, T. Aoyama, H. Shimomura, T. Takeda, K. Oshiro, N. Sugishita, Y. Shibata, T. Otonari, H. Kihara, H. Ogawa, A. Ohno, M. Hazama, M. Shimizu, K. Tsukahara, S. Haruta, T. Wakeyama, T. Haruna, M. Ito, K. Fujii, N. Atsuchi, M. Sata, K. Kimura, N. Hasebe, Y. Kobayasi, K. Ohsato, K. Hironaga, Y. Naganuma, K. Anzaki, K. Oiwa, S. Okazaki, Y. Nakagawa, K. Tokuhiro, K. Tanaka, T. Momose, Y. Fukushima, R. Kametani, K. Kawamitsu, Y. Saito, S. Akashi, K. Kumagai, K. Eshima, T. Tobaru, T. Seo, K. Okuhara, K. Kozuma, Y. Ikari, T. Takahashi, I. Michishita, H. Fujikura, S. Momomura, Y. Yamamoto, K. Otomo, T. Matsubara, H. Tashiro, T. Inoue, M. Ishihara, I. Shiojima, E. Tachibana, J. Ako, K. Sumii, N. Yamamoto, N. Ohmura, T. Nakamura, Y. Morita, N. Takahashi, K. Watanabe, H. Fujinaga, M. Maruyama, T. Oka, T. Shirayama, T. Amano, K. Fukui, K. Ando, S. Oshima, S. Kagiyama, H. Teragawa, M. Yuge, S. Ono, T. Koga, K. Fujiu, M. Kuwabara, Y. Ohya, Y. Yumoto, N. Kuji, M. Ikemura, K. Kario, K. Chatani, K. Sato, H. Miyagi, M. Murakami, K. Saito, M. Hoshiga, S. Sato, N. Kubo, Y. Sakamoto, K. Ashida, H. Sakamoto, S. Murasaki, H. Uehara, T. Akasaka, Y. Ooba, S. Nakahara, Y. Hanaoka, T. Nishimiya, R. Tsunoda, Y. Onuma, S. Higuchi, A. Tani, A. Wada, M. Kato, H. Obata, Y. Higuchi, T. Endo, R. Katou, T. Matsunaga, T. Matsuoka, H. Noguchi, M. Usui, T. Hayashi, Y. Otsuji, T. Osaki, H. Zaizen, H. Yoshihara, K. Kadota, T. Hirose, T. Miyazawa, A. Mori, M. Takano, W. Shimizu, M. Wake, S. Oriso, M. Yoshiyama, S. Kakinoki, T. Nishioka, T. Ozaki, K. Nomoto, K. Seki, K. Kawai, Y. Ozaki, S. Miura, M. Kawasaki, R. Funada, K. Dote, T. Nagano, S. Okamoto, T. Kubo, Y. Murozono, T. Owada, T. Doke, T. Matsumura, M. Horiuchi, A. Takaishi, M. Yamamoto, H. Nakashima, M. Munemasa, Y. Sakata, N. Inoue, T. Ota, Y. Hamano, N. Abe, T. Tsubokura, M. Goto, I. Kubota, M. Yano, K. Umetani, T. Date, H. Morimoto, T. Noda, S. Goto, K. Hibi, A. Nakano, S. Hiramitsu, Y. Kihara, M. Sugi, N. Shiba, D. Izumi, T. Sato, S. Tayama, T. Matsui, A. Suzuki, K. Ajiki, M. Oishi, M. Kiryu, T. Ko, H. Ando, S. Miyazaki, T. Kinugawa, H. Otake, H. Kitaoka, Y. Hirata, S. Honda, M. Manita, Y. Ishii, H. Oka, Y. Nanba, M. Nishino, T. Sakamoto, T. Saito, H. Sakai, M. Ichikawa, S. Namiuchi, K. Inoue, N. Komiyama, Y. Akashi, Y. Nakamura, T. Komaru, T. Hosokawa, T. Chikamori, H. Tanaka, O. Arasaki, K. Aonuma, Y. Wakasa, T. Yoshizawa, T. Sugano, N. Yokota, A. Kakutani, T. Suzuki, Y. Abe, T. Kataoka, H. Okayama, H. Yokoi, K. Chin, K. Hasegawa, H. Tomita, H. Honzyo, H. Kawai, K. Yamamoto, Y. Morino, S. Tsujiyama, S. Hamasaki, Y. Niijima, Y. Mizuno, A. Maki, K. Tanabe, T. Murohara, S. Naomi, M. Arikawa, T. Kato, N. Matsumoto, T. Minamino, H. Sairenji, N. Miyamoto, H. Ito, Y. Matsuura, S. Hata, Y. Nakatsu, T. Onodera, M. Yoshimura, H. Amano, E. Tokutake, M. Kasao, M. Moriguchi, M. Tsuji, H. Yamamoto, Y. Yanbe, T. Iwasawa, M. Suzuki, and H. Mori

Subjects
Rivaroxaban, medicine.medical_specialty, business.industry, Unstable angina, medicine.medical_treatment, Percutaneous coronary intervention, Atrial fibrillation, medicine.disease, Thrombosis, Coronary artery disease, Internal medicine, medicine, Cardiology, cardiovascular diseases, Myocardial infarction, Cardiology and Cardiovascular Medicine, business, Stroke, medicine.drug
Abstract

Objectives The aim of this AFIRE (Atrial Fibrillation and Ischemic Events With Rivaroxaban in Patients With Stable Coronary Artery Disease) trial subgroup analysis was to examine rivaroxaban monotherapy benefits and their relation to the time between stenting and enrollment among patients after coronary stenting. Background Of 2,215 patients with atrial fibrillation and stable coronary artery disease in the AFIRE trial, rivaroxaban monotherapy was noninferior to rivaroxaban plus antiplatelet therapy (combination therapy) in terms of efficacy and superior for safety endpoints. However, thrombotic risk after antiplatelet therapy cessation remained a concern among 1,444 patients who had undergone coronary stenting >1 year before enrollment. Methods The benefits of rivaroxaban monotherapy in coronary stenting subgroups were assessed for efficacy (a composite of stroke, systemic embolism, myocardial infarction, unstable angina requiring revascularization, or death of any cause), safety (major bleeding defined according to International Society on Thrombosis and Haemostasis criteria), ischemic endpoints, net adverse clinical event, and time between stenting and enrollment. Results Efficacy and safety endpoints for monotherapy were superior to combination therapy, with HRs of 0.70 for efficacy (95% CI: 0.50-0.98; P = 0.036) and 0.55 for safety (95% CI: 0.33-0.92; P = 0.019). For ischemic endpoints, the HR was 0.82 (95% CI: 0.58-1.15; P = 0.240). The HR became smaller with longer time between stenting and enrollment (efficacy, P for interaction = 0.158; safety, P = 0.097). Conclusions In patients with atrial fibrillation after coronary stenting, the benefits of rivaroxaban monotherapy for efficacy and safety endpoints were consistent with those in the whole AFIRE trial population. The benefits became apparent with longer time between stenting and enrollment. (Atrial Fibrillation and Ischemic Events With Rivaroxaban in Patients With Stable Coronary Artery Disease Study [AFIRE]; UMIN000016612 , NCT02642419 )

Published
2021
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7. The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1

Author

S. Miyazaki, K. Saito, J. Mori, T. Yamazaki, T. Ise, H. Arakida, T. Hajima, Y. Iijima, H. Machiya, T. Sueyoshi, H. Yabuki, E. J. Burke, M. Hosaka, K. Ichii, H. Ikawa, A. Ito, A. Kotani, Y. Matsuura, M. Niwano, T. Nitta, R. O'ishi, T. Ohta, H. Park, T. Sasai, A. Sato, H. Sato, A. Sugimoto, R. Suzuki, K. Tanaka, S. Yamaguchi, and K. Yoshimura

Subjects
Geology, QE1-996.5
Abstract

As part of the terrestrial branch of the Japan-funded Arctic Climate Change Research Project (GRENE-TEA), which aims to clarify the role and function of the terrestrial Arctic in the climate system and assess the influence of its changes on a global scale, this model intercomparison project (GTMIP) is designed to (1) enhance communication and understanding between the modelling and field scientists and (2) assess the uncertainty and variations stemming from variability in model implementation/design and in model outputs using climatic and historical conditions in the Arctic terrestrial regions. This paper provides an overview of all GTMIP activity, and the experiment protocol of Stage 1, which is site simulations driven by statistically fitted data created using the GRENE-TEA site observations for the last 3 decades. The target metrics for the model evaluation cover key processes in both physics and biogeochemistry, including energy budgets, snow, permafrost, phenology, and carbon budgets. Exemplary results for distributions of four metrics (annual mean latent heat flux, annual maximum snow depth, gross primary production, and net ecosystem production) and for seasonal transitions are provided to give an outlook of the planned analysis that will delineate the inter-dependence among the key processes and provide clues for improving model performance.

Published
2015
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10. Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications

Author

A. Y. Matsuura, S.P. Premaratne, Roman Caudillo, M. Adriaan Rol, V. P. Ostroukh, Sonika Johri, Xiang Zou, David J. Michalak, Leonardo DiCarlo, and James S. Clarke

Subjects
FOS: Computer and information sciences, Quantum Physics, Coprocessor, Quantum dynamics, Computer Science - Emerging Technologies, FOS: Physical sciences, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Instruction set, Computer Science::Hardware Architecture, Quantum circuit, Emerging Technologies (cs.ET), Computer Science::Emerging Technologies, Quantum gate, Computer engineering, Qubit, FOS: Electrical engineering, electronic engineering, information engineering, Quantum algorithm, Hardware_ARITHMETICANDLOGICSTRUCTURES, Quantum Physics (quant-ph), Quantum computer
Abstract

Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future fault-tolerant large-scale quantum computers. These near-term systems require specific architecture and design attributes to realize their full potential. To efficiently execute an algorithm, the quantum coprocessor must be designed to scale with respect to qubit number and to maximize useful computation within the qubits' decoherence bounds. In this work, we employ an application-system-qubit co-design methodology to architect a near-term quantum coprocessor. To support algorithms from the real-world application area of simulating the quantum dynamics of a material system, we design a (parameterized) arbitrary single-qubit rotation instruction and a two-qubit entangling controlled-Z instruction. We introduce dynamic gate set and paging mechanisms to implement the instructions. To evaluate the functionality and performance of these two instructions, we implement a two-qubit version of an algorithm to study a disorder-induced metal-insulator transition and run 60 random instances of it, each of which realizes one disorder configuration and contains 40 two-qubit instructions (or gates) and 104 single-qubit instructions. We observe the expected quantum dynamics of the time-evolution of this system., Comment: Received August 15, 2019; revised December 9, 2019; accepted December 13, 2019; date of publication January 28, 2020; date of current version February 14, 2020

Published
2020
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13. Er:YAR Laser - Preparation of Hard Dental Tissues

Author

T. Dostálová, H. Jelínková, M. Němec, P. Koranda, M. Miyagi, K. Iwai, Y. Shi, and Y. Matsuura

Subjects
dentin, er:yag laser, q-switching, free-running, ultrasonic, bur preparation, Dentistry, RK1-715
Abstract

Free-running and Q-switched infrared Er:YAG laser radiations, ultrasonic ball tip, and classical hand piece drilling machine were compared in the case of hard dental tissues preparation. For the radiation delivery, a special waveguide transfer system was used. Light-cured, high viscosity flowable HDR microfilled hybrid composite material was used for restorations. The longitudinal sections of extracted human teeth with filling material were compared from the point of view of prepared cavity shape and filling material in scanning electron microscope.

Published
2007

14. Selective Preparation of Hard Dental Tissues in Connection with Composite Materials

Author

T. Dostálová, H. Jelínková, M. Němec, P. Koranda, M. Miyagi, K. Iwai, Y. Shi, and Y. Matsuura

Subjects
dentin, ivory, er:yag laser, ultrasound, preparation, Dentistry, RK1-715
Abstract

The study compares four different procedures of selective preparation of hard dental tissues: ablation by Er:YAG laser radiation (with long and short pulses), preparation by an ultrasound extension with a ball and a classical dental drill. In the long pulses the authors employed interaction energy of 40mJ, duration of the pulse 200 μs and interaction intensity 62kW/cm2; in short pulses the energy was 20mJ, pulse duration 100ns and interaction energy 62kW/cm2. The laser methods were compared with the ultrasound preparation (Sonixflex cariex TV, D - Sonicsys micro) and with the classical preparation. The longitudinal sections through the dentin and the samples of ivory were evaluated after the creation of cavity and administration of the filling by means of electron scanning microscope.

Published
2006

15. Comparison of Preoperative Effect of Laser Radiation with Ultrasound Micropreparation and Classical Drilling Machine

Author

T. Dostálová, H. Jelínková, M. Němec, P. Koranda, M. Miyagi, Y. Shi, and Y. Matsuura

Subjects
dentistry, hard tooth tissue preparation, er:yag laser, Dentistry, RK1-715
Abstract

The aim of this study is to evaluate the interation effect of Q-switched, and free running Er:YAG laser radiations, sonic, and classical drilling machine preparation on the hard dental tissues.

Published
2005

16. Alkaline extracellular conditions promote the proliferation and mineralization of a human cementoblast cell line

Author

Takashi Muramatsu, Y. Matsuura, H. Ishizuka, S. Kashiwagi, Yoshiyuki Shibukawa, M. Kimura, and Masahiro Furusawa

Subjects
Cementoblast, 0206 medical engineering, Cell, chemistry.chemical_element, Cell Count, 02 engineering and technology, Calcium, Mineralization (biology), Cell Line, 03 medical and health sciences, 0302 clinical medicine, Calcification, Physiologic, Western blot, medicine, Extracellular, Humans, General Dentistry, Cells, Cultured, Cell Proliferation, Dental Cementum, medicine.diagnostic_test, Cell Differentiation, 030206 dentistry, Alkaline Phosphatase, 020601 biomedical engineering, Molecular biology, medicine.anatomical_structure, chemistry, Cell culture, Alkaline phosphatase
Abstract

AIM To investigate the proliferation and mineralization of a human cementoblast cell line under alkaline conditions. METHODOLOGY A human cementoblast cell line was cultured in alkaline media with several pHs (pH 7.6, 8.0 and 8.4) without CO2 . Cell numbers, phospho-p44/42 expression, alkaline phosphatase (ALP) activity and mineralization were evaluated. The significance of differences between groups was assessed using two-way analysis of variance 15 (ANOVA) followed by Bonferroni's multiple comparison test (α = 0.01). RESULTS Cell numbers increased in a time-dependent manner in the high pH medium groups. Western blot analysis revealed the upregulated expression of phospho-p44/42 under alkaline conditions. ALP activity was also increased at pH 8.0 and 8.4. Alizarin red staining revealed increased mineralization in the high pH medium groups. The incorporation of the transient receptor potential ankyrin subfamily member 1 (TRPA1) antagonist HC030031 markedly negated the effect on proliferation and mineralization. CONCLUSIONS Extracellular alkaline conditions promoted the proliferation and mineralization of human cementoblasts in vitro via TRPA1.

Published
2019

17. Myeloid ZFP36L1 does not regulate inflammation or host defense in mouse models of acute bacterial infection.

Author

Lynnae D Hyatt, Gregory A Wasserman, Yoon J Rah, Kori Y Matsuura, Fadie T Coleman, Kristie L Hilliard, Zachary Ash Pepper-Cunningham, Michael Ieong, Deborah J Stumpo, Perry J Blackshear, Lee J Quinton, Joseph P Mizgerd, and Matthew R Jones

Subjects
Medicine, Science
Abstract

Zinc finger protein 36, C3H type-like 1 (ZFP36L1) is one of several Zinc Finger Protein 36 (Zfp36) family members, which bind AU rich elements within 3' untranslated regions (UTRs) to negatively regulate the post-transcriptional expression of targeted mRNAs. The prototypical member of the family, Tristetraprolin (TTP or ZFP36), has been well-studied in the context of inflammation and plays an important role in repressing pro-inflammatory transcripts such as TNF-α. Much less is known about the other family members, and none have been studied in the context of infection. Using macrophage cell lines and primary alveolar macrophages we demonstrated that, like ZFP36, ZFP36L1 is prominently induced by infection. To test our hypothesis that macrophage production of ZFP36L1 is necessary for regulation of the inflammatory response of the lung during pneumonia, we generated mice with a myeloid-specific deficiency of ZFP36L1. Surprisingly, we found that myeloid deficiency of ZFP36L1 did not result in alteration of lung cytokine production after infection, altered clearance of bacteria, or increased inflammatory lung injury. Although alveolar macrophages are critical components of the innate defense against respiratory pathogens, we concluded that myeloid ZFP36L1 is not essential for appropriate responses to bacteria in the lungs. Based on studies conducted with myeloid-deficient ZFP36 mice, our data indicate that, of the Zfp36 family, ZFP36 is the predominant negative regulator of cytokine expression in macrophages. In conclusion, these results imply that myeloid ZFP36 may fully compensate for loss of ZFP36L1 or that Zfp36l1-dependent mRNA expression does not play an integral role in the host defense against bacterial pneumonia.

Published
2014
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19. Probing many-body localization on a noisy quantum computer

Author

A. Y. Matsuura, Daiwei Zhu, Sonika Johri, Christopher Monroe, C. Huerta Alderete, K. A. Landsman, Nhung H. Nguyen, and Norbert M. Linke

Subjects
Coupling, Physics, Quantum Physics, Strongly Correlated Electrons (cond-mat.str-el), Heisenberg model, Computation, Phase (waves), FOS: Physical sciences, 01 natural sciences, Noise (electronics), Spectral line, 010305 fluids & plasmas, Condensed Matter - Strongly Correlated Electrons, 0103 physical sciences, Quantum system, Statistical physics, Quantum Physics (quant-ph), 010306 general physics, Quantum computer
Abstract

A disordered quantum system of interacting particles exhibits localized behavior when the disorder is large compared to the interaction strength. Studying this phenomenon on a quantum computer with no, or limited, error correction is challenging because even weak coupling to a thermal environment destroys most signatures of localization. Fortunately, spectral functions of local operators are known to contain features that can survive the presence of noise. In these spectra, discrete peaks and a soft gap at low frequencies compared to the thermal phase indicate localization. Here, we present the computation of spectral functions on a trapped-ion quantum computer for a one-dimensional Heisenberg model with disorder. Further, we design an error-mitigation technique which is effective at removing the noise from the measurement allowing clear signatures of localization to emerge as the disorder increases. Thus, we show that spectral functions can serve as a robust and scalable diagnostic of many-body localization on current and future generations of quantum computers.

Published
2021
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21. Effects of dissolved gas on surface pressure of a hydrofoil under cavitation condition

Author

Y Matsuura, D Tsuji, S Watanabe, and S Tsuda

Subjects
History, Computer Science Applications, Education
Abstract

Dissolved gas in water is known as one of the factors which affect cavitation. The present study focuses on the effect of dissolved gas on cavitation around a hydrofoil, more specifically on the hysteresis of cavitation and surface pressure of the hydrofoil. The pressure measurement on a hydrofoil of Clark Y-11.7% was carried out under various dissolved gas conditions. Pressure in the test section was reduced stepwise from an atmospheric pressure to that in a super-cavitation condition, then was increased stepwise to the atmospheric pressure condition. Amount of dissolved oxygen (DO) was used as a parameter representing the degree of air content, and three DO conditions were set at low DO: under 30%, middle DO: around 50%, and high DO: over 70% of saturation under atmospheric pressure. Also, two angles of attack, 8 and 20 degrees were selected. Although there is no significant difference of the surface pressure and its hysteresis at the angle of attack of 8 degrees, dissolved gas seems to affect the behavior of cavitation. At the angle of attack of 20 degrees, it was found that the appearance of cavity was changed by DO conditions, and it would affect surface pressure of the foil. Under high DO condition, when the cavity oscillated with large amplitude, dissolved gas seemed to enhance the growth of the cavity, and the cavity tended to grow as covering the suction surface of the foil; it would make the time-averaged surface pressure of high DO condition lower than that of the other DO condition.

Published
2022
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22. Studies on the inhibition of pancreatic and carboxylester lipases by protamine.

Author

T Tsujita, Y Matsuura, and H Okuda

Subjects
Biochemistry, QD415-436
Abstract

The basic protein protamine strongly inhibited hydrolysis of triolein emulsified with soybean phosphatidylcholine (PC) by pancreatic and carboxylester lipases; 10 micrograms/ml protamine, about 1000 times lower than the concentration of bovine serum albumin for the same effect, inhibited triolein hydrolysis completely. This inhibition was not affected by the incubation pH or bile salt concentration. Two other basic proteins, histone and purothionin, also inhibited hydrolysis of triolein emulsified with soybean PC, but they did not inhibit triolein hydrolysis by gastric lipase. When gum arabic was used as an emulsifier instead of soybean PC, these basic proteins did not affect triolein hydrolysis by pancreatic or carboxylester lipases. The effects of protamine on triolein hydrolysis by pancreatic and carboxylester lipases was studied using various phospholipids as emulsifiers. Protamine (10 micrograms/ml) did not inhibit hydrolysis of triolein emulsified with dicaproyl PC (DCPC), phosphatidic acid (PA), or phosphatidylserine (PS) by pancreatic and carboxylester lipases. Conversely, protamine at high concentrations slightly stimulated hydrolysis of triolein emulsified with DCPC or PA. Hydrolysis of triolein-phosphatidylethanolamine (PE) emulsion was inhibited slightly by protamine. The profiles of protamine inhibition of triolein-phosphatidyl-N,N-dimethyl ethanolamine (PDME) and triolein-phosphatidyl-N-monomethyl ethanolamine (PMME) emulsions were intermediate between those of PC and PE emulsions. These results suggest that the phospholipid species, especially choline moieties and fatty acid chain length, affect the lipase inhibitory activity of protamine profoundly. In vivo, oral administration of protamine to rats reduced and delayed the peak plasma triacylglycerol concentration, but neither bovine serum albumin nor an amino acid mixture with an amino acid composition identical to protamine affected plasma triacylglycerol levels.

Published
1996
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23. Efficient Quantum Circuits for Accurate State Preparation of Smooth, Differentiable Functions

Author

A. Y. Matsuura and Adam Holmes

Subjects
Quantum Physics, Computer science, FOS: Physical sciences, Quantum machine, Numerical Analysis (math.NA), Quantum state, FOS: Mathematics, Quantum algorithm, Mathematics - Numerical Analysis, Differentiable function, Quantum information, Quantum Physics (quant-ph), Algorithm, Quantum, Matrix product state, Quantum computer
Abstract

Effective quantum computation relies upon making good use of the exponential information capacity of a quantum machine. A large barrier to designing quantum algorithms for execution on real quantum machines is that, in general, it is intractably difficult to construct an arbitrary quantum state to high precision. Many quantum algorithms rely instead upon initializing the machine in a simple state, and evolving the state through an efficient (i.e. at most polynomial-depth) quantum algorithm. In this work, we show that there exist families of quantum states that can be prepared to high precision with circuits of linear size and depth. We focus on real-valued, smooth, differentiable functions with bounded derivatives on a domain of interest, exemplified by commonly used probability distributions. We further develop an algorithm that requires only linear classical computation time to generate accurate linear- depth circuits to prepare these states, and apply this to well-known and heavily-utilized functions including Gaussian and lognormal distributions. Our procedure rests upon the quantum state representation tool known as the matrix product state (MPS). By efficiently and scalably encoding an explicit amplitude function into an MPS, a high fidelity, linear-depth circuit can directly be generated. These results enable the execution of many quantum algorithms that, aside from initialization, are otherwise depth-efficient.

Published
2020
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24. Engineering a Cost Function for Real-world Implementation of a Variational Quantum Algorithm

Author

A. Y. Matsuura and S.P. Premaratne

Subjects
Phase transition, Work (thermodynamics), Mathematical optimization, Computer science, Qubit, Ising model, Quantum algorithm, Function (mathematics), Quantum information science, Quantum
Abstract

Hybrid quantum-classical variational algorithm execution typically involve the use of quantum processing for state evolution, and classical processing for cost function evaluation and guiding optimization. This paper proposes a new approach for engineering cost functions for a certain class of quantum- classical hybrid variation algorithms, in order to improve performance of these algorithms on today's small qubit systems. In this work, we apply this approach to a variational algorithm that generates thermofield double states (in the transverse field Ising model), which are relevant for studying thermal phase transitions in condensed matter systems. We discuss the benefits and drawbacks of various cost functions, apply our new engineering approach and show that it yields good agreement across the full temperature range.

Published
2020
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25. Machine-learning-based three-qubit gate design for the Toffoli gate and parity check in transmon systems

Author

Nader Khammassi, Xiaoyu Song, Marek Perkowski, Sahar Daraeizadeh, A. Y. Matsuura, and S.P. Premaratne

Subjects
Physics, Quantum decoherence, Toffoli gate, Hardware_PERFORMANCEANDRELIABILITY, Quantum Physics, Transmon, 01 natural sciences, 010305 fluids & plasmas, Computer Science::Hardware Architecture, Computer Science::Emerging Technologies, Circuit quantum electrodynamics, Logic synthesis, Quantum error correction, Qubit, 0103 physical sciences, Hardware_INTEGRATEDCIRCUITS, Electronic engineering, Hardware_ARITHMETICANDLOGICSTRUCTURES, 010306 general physics, Quantum, Hardware_LOGICDESIGN, Quantum computer
Abstract

We use machine-learning techniques to design three-qubit entangling gates with fidelities of g99.9% and duration of 50 ns for nearest-neighbor coupled flux-tunable transmons in circuit quantum electrodynamics architectures. The gate design procedure enforces realistic constraints and analyzes the robustness of the new gates under decoherence, distortion, and random noise. The controlled-controlled-phase gate in combination with two single-qubit gates realizes a Toffoli gate which is widely used in quantum circuits, logic synthesis, and quantum error correction. We also introduce a three-qubit entangling Parity Checker gate which has applications in quantum arithmetic circuits and quantum error correction schemes. Using these three-qubit gates, we design a circuit for Shor's nine-qubit quantum error correction code and compare its performance to conventional realizations.

Published
2020
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26. Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning

Author

Sahar Daraeizadeh, A. Y. Matsuura, and S.P. Premaratne

Subjects
FOS: Computer and information sciences, Hardware architecture, Quantum Physics, Computer Science - Machine Learning, Artificial neural network, Computer science, Physical system, FOS: Physical sciences, Systems and Control (eess.SY), Optimal control, Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), Quantum dot, Qubit, FOS: Electrical engineering, electronic engineering, information engineering, Electronic engineering, Reinforcement learning, Hardware_ARITHMETICANDLOGICSTRUCTURES, Quantum Physics (quant-ph), Quantum
Abstract

In this paper, we present a machine learning framework to design high-fidelity multi-qubit gates for quantum processors based on quantum dots in silicon, with qubits encoded in the spin of single electrons. In this hardware architecture, the control landscape is vast and complex, so we use the deep reinforcement learning method to design optimal control pulses to achieve high fidelity multi-qubit gates. In our learning model, a simulator models the physical system of quantum dots and performs the time evolution of the system, and a deep neural network serves as the function approximator to learn the control policy. We evolve the Hamiltonian in the full state-space of the system, and enforce realistic constraints to ensure experimental feasibility.

Published
2020

27. Variational preparation of finite-temperature states on a quantum computer

Author

R. Sagastizabal, S. P. Premaratne, B. A. Klaver, M. A. Rol, V. Negîrneac, M. S. Moreira, X. Zou, S. Johri, N. Muthusubramanian, M. Beekman, C. Zachariadis, V. P. Ostroukh, N. Haider, A. Bruno, A. Y. Matsuura, and L. DiCarlo

Subjects
Thermal equilibrium, Physics, Quantum Physics, Optimization algorithm, Mixed states, Computer simulation, Computer Networks and Communications, QC1-999, FOS: Physical sciences, Statistical and Nonlinear Physics, State (functional analysis), QA75.5-76.95, Unitary state, Cosmology, Computational Theory and Mathematics, Electronic computers. Computer science, Computer Science (miscellaneous), Statistical physics, Quantum Physics (quant-ph), Quantum computer
Abstract

The preparation of thermal equilibrium states is important for the simulation of condensed matter and cosmology systems using a quantum computer. We present a method to prepare such mixed states with unitary operators and demonstrate this technique experimentally using a gate-based quantum processor. Our method targets the generation of thermofield double states using a hybrid quantum-classical variational approach motivated by quantum-approximate optimization algorithms, without prior calculation of optimal variational parameters by numerical simulation. The fidelity of generated states to the thermal-equilibrium state smoothly varies from 99 to 75% between infinite and near-zero simulated temperature, in quantitative agreement with numerical simulations of the noisy quantum processor with error parameters drawn from experiment.

Published
2020
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28. Zcchc11 uridylates mature miRNAs to enhance neonatal IGF-1 expression, growth, and survival.

Author

Matthew R Jones, Matthew T Blahna, Elyse Kozlowski, Kori Y Matsuura, Joseph D Ferrari, Samantha A Morris, John T Powers, George Q Daley, Lee J Quinton, and Joseph P Mizgerd

Subjects
Genetics, QH426-470
Abstract

The Zcchc11 enzyme is implicated in microRNA (miRNA) regulation. It can uridylate let-7 precursors to decrease quantities of the mature miRNA in embryonic stem cell lines, suggested to mediate stem cell maintenance. It can uridylate mature miR-26 to relieve silencing activity without impacting miRNA content in cancer cell lines, suggested to mediate cytokine and growth factor expression. Broader roles of Zcchc11 in shaping or remodeling the miRNome or in directing biological or physiological processes remain entirely speculative. We generated Zcchc11-deficient mice to address these knowledge gaps. Zcchc11 deficiency had no impact on embryogenesis or fetal development, but it significantly decreased survival and growth immediately following birth, indicating a role for this enzyme in early postnatal fitness. Deep sequencing of small RNAs from neonatal livers revealed roles of this enzyme in miRNA sequence diversity. Zcchc11 deficiency diminished the lengths and terminal uridine frequencies for diverse mature miRNAs, but it had no influence on the quantities of any miRNAs. The expression of IGF-1, a liver-derived protein essential to early growth and survival, was enhanced by Zcchc11 expression in vitro, and miRNA silencing of IGF-1 was alleviated by uridylation events observed to be Zcchc11-dependent in the neonatal liver. In neonatal mice, Zcchc11 deficiency significantly decreased IGF-1 mRNA in the liver and IGF-1 protein in the blood. We conclude that the Zcchc11-mediated terminal uridylation of mature miRNAs is pervasive and physiologically significant, especially important in the neonatal period for fostering IGF-1 expression and enhancing postnatal growth and survival. We propose that the miRNA 3' terminus is a regulatory node upon which multiple enzymes converge to direct silencing activity and tune gene expression.

Published
2012
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29. MA08.01 Presence of High-Grade Subtype Predicts Recurrence of Stage I Lung Adenocarcinoma Only in EGFR-Mutated Patients

Author

K. Omura, Hironori Ninomiya, Masayuki Nakao, K. Hashimoto, Takashi Yamamichi, Mingyon Mun, Sakae Okumura, J. Ichinose, Yasuto Kondo, Yuichi Ishikawa, Yukitoshi Satoh, and Y. Matsuura

Subjects
Pulmonary and Respiratory Medicine, Oncology, medicine.medical_specialty, business.industry, Internal medicine, Stage I Lung Adenocarcinoma, medicine, business
Published
2021
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30. Generation of Thermofield Double States and Critical Ground States with a Quantum Computer

Author

Norbert M. Linke, A. Y. Matsuura, Daiwei Zhu, K. A. Landsman, Christopher Monroe, C. Huerta Alderete, Nhung H. Nguyen, Sonika Johri, and Timothy H. Hsieh

Subjects
Physics, High Energy Physics - Theory, Work (thermodynamics), Quantum Physics, Multidisciplinary, Strongly Correlated Electrons (cond-mat.str-el), FOS: Physical sciences, Quantum simulator, Quantum entanglement, trapped ions, Noise (electronics), quantum computing, Condensed Matter - Strongly Correlated Electrons, High Energy Physics - Theory (hep-th), thermofield double state, Quantum state, Quantum mechanics, Physical Sciences, Ising model, Quantum Physics (quant-ph), Quantum, quantum simulation, Quantum computer
Abstract

Significance Our experiment prepares two types of nontrivial quantum states on a trapped ion quantum computer: the thermofield double state of the transverse-field Ising model at arbitrary temperature and the quantum critical state of the zero-temperature model. We use techniques motivated by the quantum approximate optimization algorithm, and we implement a hybrid quantum–classical optimization loop to prepare the quantum critical state. Our results pave the way for exploring strongly correlated models at finite temperature and teleportation protocols inspired by black hole physics., Finite-temperature phases of many-body quantum systems are fundamental to phenomena ranging from condensed-matter physics to cosmology, yet they are generally difficult to simulate. Using an ion trap quantum computer and protocols motivated by the quantum approximate optimization algorithm (QAOA), we generate nontrivial thermal quantum states of the transverse-field Ising model (TFIM) by preparing thermofield double states at a variety of temperatures. We also prepare the critical state of the TFIM at zero temperature using quantum–classical hybrid optimization. The entanglement structure of thermofield double and critical states plays a key role in the study of black holes, and our work simulates such nontrivial structures on a quantum computer. Moreover, we find that the variational quantum circuits exhibit noise thresholds above which the lowest-depth QAOA circuits provide the best results.

Published
2019

31. QAOA for Max-Cut requires hundreds of qubits for quantum speed-up

Author

Gian Giacomo Guerreschi and A. Y. Matsuura

Subjects
FOS: Computer and information sciences, 0301 basic medicine, Speedup, Quantum information, Computer science, Maximum cut, FOS: Physical sciences, lcsh:Medicine, Upper and lower bounds, Article, 03 medical and health sciences, 0302 clinical medicine, lcsh:Science, Quantum, Quantum computer, Quantum Physics, Computer Science - Performance, Multidisciplinary, Computational science, lcsh:R, TheoryofComputation_GENERAL, Performance (cs.PF), Quantum technology, 030104 developmental biology, Computer engineering, ComputerSystemsOrganization_MISCELLANEOUS, Qubit, lcsh:Q, Quantum Physics (quant-ph), Error detection and correction, 030217 neurology & neurosurgery, Coherence (physics)
Abstract

Computational quantum technologies are entering a new phase in which noisy intermediate-scale quantum computers are available, but are still too small to benefit from active error correction. Even with a finite coherence budget to invest in quantum information processing, noisy devices with about 50 qubits are expected to experimentally demonstrate quantum supremacy in the next few years. Defined in terms of artificial tasks, current proposals for quantum supremacy, even if successful, will not help to provide solutions to practical problems. Instead, we believe that future users of quantum computers are interested in actual applications and that noisy quantum devices may still provide value by approximately solving hard combinatorial problems via hybrid classical-quantum algorithms. To lower bound the size of quantum computers with practical utility, we perform realistic simulations of the Quantum Approximate Optimization Algorithm and conclude that quantum speedup will not be attainable, at least for a representative combinatorial problem, until several hundreds of qubits are available.

Published
2019
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32. Removal of Humic Acid in Water by Rice Hull Magnetic Activated Carbon and Magnetic Separation

Author

Y. Matsuura, O. Miura, T. Sugawara, and T. Anzai

Subjects
chemistry.chemical_classification, 020208 electrical & electronic engineering, Magnetic separation, chemistry.chemical_element, Portable water purification, 02 engineering and technology, Condensed Matter Physics, 01 natural sciences, Nitrogen, Electronic, Optical and Magnetic Materials, chemistry.chemical_compound, Adsorption, chemistry, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, medicine, Slurry, Humic acid, Electrical and Electronic Engineering, 010306 general physics, Nuclear chemistry, Activated carbon, medicine.drug, Magnetite
Abstract

We have newly developed a rice hull magnetic activated carbon (RH-MAC) and studied its adsorption property for humic acid from water and high-gradient magnetic separation (HGMS) characteristics. Rice hull was impregnated with an iron nitrate solution and heat-treated in both nitrogen and carbon dioxide atmosphere. In these processes, the rice hull changed to activated carbon that had a lot of mesopores and nanosize magnetite inside. Magnetization of RH-MAC increased with an increase in iron nitrate concentration during the process and reached 20.8 Am 2 /kg at 0.5 T. In the adsorption examination, it was able to adsorb humic acid effectively, and the removal ratio achieved 97.6% from a humic acid solution of 50 mg/L. In HGMS studies, we used the magnetic wire filter rounded on a magnet drum with 0.5-T permanent magnet and the slurry of RH-MAC concentration of 100 mg/L. Consequently, 99.4% of RH-MAC in the slurry of 2 L was captured in the magnetic filter at flow rates of 230 mL/min. These results show that this water purification system has higher removal ratio of humic acid than that for current advanced water treatments.

Published
2016
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33. Removal of Ammonia Nitrogen From Water by Magnetic Zeolite and High-Gradient Magnetic Separation

Author

O. Miura, T. Sugawara, T. Anzai, and Y. Matsuura

Subjects
010302 applied physics, Materials science, Ion exchange, Coprecipitation, Analytical chemistry, chemistry.chemical_element, 010501 environmental sciences, Condensed Matter Physics, 01 natural sciences, Nitrogen, Electronic, Optical and Magnetic Materials, Magnetization, Ammonia, chemistry.chemical_compound, Adsorption, chemistry, Sodium hydroxide, 0103 physical sciences, Electrical and Electronic Engineering, Zeolite, 0105 earth and related environmental sciences
Abstract

We have studied the removal of ammonia nitrogen from water by a magnetic zeolite (MZL) and a high-gradient magnetic separation (HGMS) to explore the possibility of an advanced water purification process. MZL was synthesized by the coprecipitation process using fly ash, sodium hydroxide solution, and ferric chloride solution. Large magnetization of over 10 $\text{A}\cdot \text{m}^{2}$ /kg at 2 T was derived for the typical MZL. The adsorption ratio of ammonia nitrogen for MZL achieved 83.4% in a 0.8-mg/L ammonia nitrogen solution. The adsorbed ammonia nitrogen could be released easily by NaCl solution due to an ion exchange reaction between Na and ammonia ions. Magnetic separation properties of MZL were studied by HGMS system with a superconducting magnet. At flow velocity of 0.5 m/s and 2 T, 99.8% of MZL could be magnetically separated.

Published
2016
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35. Creative Education in Japan, Taiwan and Mainland China

Author

A. Shee, X. Ding, and Y. Matsuura

Subjects
ComputingMilieux_GENERAL, Mainland China, Engineering, business.industry, Pedagogy, ComputingMilieux_COMPUTERSANDEDUCATION, Legal education, East Asia, Context (language use), Creative education, business, ComputingMilieux_MISCELLANEOUS, Learning-by-doing (economics)
Abstract

There are three experimental attempts in legal education of East Asia. These experiments promote creative education by introducing a new approach to innovative imagination and creative comparison in a multilingual setting. They use collaborative teaching and new IT tools in the context of “learning by doing.”

Published
2015
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36. Measuring the Renyi entropy of a two-site Fermi-Hubbard model on a trapped ion quantum computer

Author

Caroline Figgatt, K. A. Landsman, Christopher Monroe, A. Y. Matsuura, Norbert M. Linke, and Sonika Johri

Subjects
Physics, Quantum Physics, Quantum Turing machine, TheoryofComputation_GENERAL, FOS: Physical sciences, Quantum entanglement, 01 natural sciences, 010305 fluids & plasmas, Quantum state, Qubit, Quantum mechanics, ComputerSystemsOrganization_MISCELLANEOUS, 0103 physical sciences, 010306 general physics, Ground state, Quantum Physics (quant-ph), Quantum, Trapped ion quantum computer, Quantum computer
Abstract

The efficient simulation of correlated quantum systems is the most promising near-term application of quantum computers. Here, we present a measurement of the second Renyi entropy of the ground state of the two-site Fermi-Hubbard model on a $5$-qubit programmable quantum computer based on trapped ions. Our work illustrates the extraction of a non-linear characteristic of a quantum state using a controlled-swap gate acting on two copies of the state. This scalable measurement of entanglement on a universal quantum computer will, with more qubits, provide insights into many-body quantum systems that are impossible to simulate on classical computers., Comment: main text: 5 pages, 4 figures, 2 F-H systems, 2 qubits each, 1 ancilla; supplementary material: 4 pages, 7 figures

Published
2017
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37. Thermoelectric figure of merit enhancement of intermetallic compound RuGa2 by ball-milling

Author

Y. Matsuura, Yoshiki Takagiwa, Koichi Kitahara, Naoki Sato, and Kaoru Kimura

Subjects
Materials science, Phonon scattering, Mechanical Engineering, Metallurgy, Metals and Alloys, Intermetallic, Spark plasma sintering, Thermoelectric materials, Grain size, Thermoelectric figure of merit, Thermal conductivity, Mechanics of Materials, Materials Chemistry, Composite material, Ball mill
Abstract

The effect of introducing a fine grain boundary using ball-milling to increase phonon scattering on the thermoelectric figure of merit of the binary semiconducting intermetallic compound RuGa2 has been investigated. The studied samples were synthesized by a combination of arc-melting, ball-milling, and spark plasma sintering (SPS). The average grain size of the bulk sample sintered by SPS from milled powder was 10–20 times larger than that of the original nanopowders, which ranged from 5 to 30 nm in size. The total thermal conductivity of the RuGa2, which had a grain size of more than 1 μm, decreased by 31% at room temperature after milling. The maximum dimensionless figure of merit, ZTmax, of milled RuGa2 was 0.58 at 773 K, a 7% and 16% enhancement on the value of 0.54 for unmilled RuGa2 and the highest reported value of 0.50, respectively. Further enhancement in ZT can be expected by preserving the size of the milled nanopowders.

Published
2014
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38. Effect of Carrier-Doping on the Thermoelectric Properties of Narrow-Bandgap (Fe,Ru)Ga3 Intermetallic Compounds

Author

Kaoru Kimura, Yoshiki Takagiwa, and Y. Matsuura

Subjects
Materials science, Condensed matter physics, Band gap, Fermi level, Doping, Intermetallic, Analytical chemistry, Condensed Matter Physics, Thermoelectric materials, Electronic, Optical and Magnetic Materials, Tetragonal crystal system, symbols.namesake, Thermal conductivity, Thermoelectric effect, Materials Chemistry, symbols, Electrical and Electronic Engineering
Abstract

We have focused on the binary narrow-bandgap intermetallic compounds FeGa3 and RuGa3 as thermoelectric materials. Their crystal structure is FeGa3-type (tetragonal, P42/mnm) with 16 atoms per unit cell. Despite their simple crystal structure, their room temperature thermal conductivity is in the range 4–5–W–m−1–K−1. Both compounds have narrow-bandgaps of approximately 0.3–eV near the Fermi level. Because their Seebeck coefficients are quite large negative values in the range 350–

Published
2014
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39. Salivary Α-amylase Activity and s-IgA Levels Could be Taken as a Measure of Physiological Stress in Wheelchair-dependent Persons with Physical Disabilities and Without Disability Middle-aged Persons

Author

S. D. Y. Tanaka and Y. Matsuura

Subjects
medicine.medical_specialty, Saliva, Environmental Engineering, business.industry, Industrial and Manufacturing Engineering, Endocrinology, Wheelchair, Internal medicine, medicine, Physical therapy, Middle-aged persons, business, Physiological stress, Salivary α amylase
Published
2014
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41. P1.16-43 Analyses of Long-Term Outcomes and Prognostic Factors in Surgically Resected ALK-Rearranged Lung Adenocarcinoma

Author

Kazuhiko Nakagawa, Sakae Okumura, J. Ichinose, Makoto Nishio, Mingyon Mun, Masayuki Nakao, Yuichi Ishikawa, Y. Matsuura, and Hironori Ninomiya

Subjects
Pulmonary and Respiratory Medicine, Oncology, medicine.medical_specialty, Lung, medicine.anatomical_structure, business.industry, Internal medicine, medicine, Long term outcomes, Adenocarcinoma, medicine.disease, business
Published
2018
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45. P2.09-10 INSM1 Is a Good Marker for Diagnosis of Small Cell Lung Carcinoma Even When Neuroendocrine Marker Negative

Author

N. Takahashi, Maki Kobayashi, Yasunari Miyazaki, Ryo Wakejima, Y. Matsuura, Rie Sakakibara, Masayuki Nakao, Hironori Ninomiya, Makoto Nishio, Noriko Motoi, J. Ichinose, Sakae Okumura, Naohiko Inase, Takaaki Ito, Satoru Kitazono, Noriko Yanagitani, Yuichi Ishikawa, Kentaro Inamura, Mingyon Mun, and Atsushi Horiike

Subjects
Pulmonary and Respiratory Medicine, Pathology, medicine.medical_specialty, Oncology, business.industry, Medicine, Small Cell Lung Carcinoma, business
Published
2019
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46. MA18.03 Distinction Between Primary Lung Cancer and Pulmonary Metastasis of Esophageal Cancer Using the Nanostring nCounter System

Author

Y. Matsuura, Masayuki Nakao, Hiroko Nagano, Hironori Ninomiya, Mingyon Mun, J. Ichinose, and Sakae Okumura

Subjects
Pulmonary and Respiratory Medicine, Oncology, medicine.medical_specialty, business.industry, Internal medicine, medicine, Pulmonary metastasis, Esophageal cancer, business, Lung cancer, medicine.disease
Published
2019
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47. P3.13-009 Rapid Detection of Lung Cancer by Fluorescent Imaging Using A γ-Glutamyltranspeptidase-Activatable Fluorescent Probe

Author

Hironori Ninomiya, Sakae Okumura, Mingyon Mun, Yuichi Ishikawa, Kazuhiko Nakagawa, Y. Matsuura, Masayuki Nakao, Yukinori Sakao, Noriko Motoi, J. Ichinose, and Y. Urano

Subjects
Pulmonary and Respiratory Medicine, Oncology, γ glutamyltranspeptidase, business.industry, Medicine, Fluorescent imaging, business, Lung cancer, medicine.disease, Molecular biology, Fluorescence, Rapid detection
Published
2017
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48. Terminal Uridyltransferase Enzyme Zcchc11 Promotes Cell Proliferation Independent of Its Uridyltransferase Activity

Author

Matthew R. Jones, Kori Y. Matsuura, Joseph P. Mizgerd, Matthew T. Blahna, and Lee J. Quinton

Subjects
Mutant, RNA-binding protein, Biology, Transfection, Retinoblastoma Protein, Biochemistry, Gene Expression Regulation, Enzymologic, Cell Line, Tumor, Humans, Molecular Biology, S phase, Cell Proliferation, Cyclin, Cell growth, Point mutation, Cell Cycle, Endothelial Cells, RNA, Cell Biology, Cell cycle, Flow Cytometry, Cyclin-Dependent Kinases, Protein Structure, Tertiary, Cell biology, DNA-Binding Proteins, Mutation, HeLa Cells
Abstract

Zcchc11 is a uridyltransferase protein with enzymatic activity directed against diverse RNA species. On the basis of its known uridylation targets, we hypothesized that Zcchc11 might regulate cell proliferation. Confirming this, loss-of-function and complementary gain-of-function experiments consistently revealed that Zcchc11 promotes the transition from G(1) to S phase of the cell cycle. This activity takes place through both Rb-dependent and Rb-independent mechanisms by promoting the expression of multiple G(1)-associated proteins, including cyclins D(1) and A and CDK4. Surprisingly, a Zcchc11 construct with point mutations inactivating the uridyltransferase domain enhanced cell proliferation as effectively as wild-type Zcchc11. Furthermore, truncated mutant constructs revealed that the cell cycle effects of Zcchc11 were driven by the N-terminal region of the protein that lacks the RNA-binding domains and uridyltransferase activity of the full protein. Therefore, the N-terminal portion of Zcchc11, which lacks nucleotidyltransferase capabilities, is biologically active and mediates a previously unrecognized role for Zcchc11 in facilitating cell proliferation.

Published
2011
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49. Steric Effect in the Energy Transfer Reaction of Oriented CO (a 3Π, v′ = 0, Ω = 1 and 2) + NO (X 2Π) → NO (A 2Σ+, B 2Π) + CO (X 1Σ+)

Author

Y. Matsuura and Hiroshi Ohoyama

Subjects
Steric effects, Carbon Monoxide, Chemistry, Physical, Branching fraction, Chemistry, Energy transfer, Electrons, Nitric Oxide, Vibration, Crystallography, Wavelength, Energy Transfer, Isomerism, Thermodynamics, Molecular orbital, Reactivity (chemistry), Emission spectrum, Physical and Theoretical Chemistry, Atomic physics, Excitation
Abstract

The oriented CO (a (3)Π, v' = 0, Ω = 1 and 2) beam has been prepared by using an electric hexapole and applied to the energy transfer reaction of CO (a (3)Π, v' = 0, Ω = 1 and 2) + NO (X (2)Π) → NO (A (2)Σ(+), B (2)Π) + CO (X (1)Σ(+)). The emission spectra of NO (A (2)Σ(+), B(2)Π) have been measured at three orientation configurations (C-end, O-end, random). The shape of the emission spectra (and/or the internal excitation of products) turns out to be insensitive to the molecular orientation. The vibrational distributions of NO (A (2)Σ(+), v' = 0-2) and NO (B (2)Π, v' = 0-2) are determined to be N(v'=0):N(v'=1):N(v'=2) = 1:0.40 ± 0.05:0.10 ± 0.05 and N(v'=0):N(v'=1):N(v'= 2) = 1:0.6 ± 0.1:0.7 ± 0.1, respectively, and the branching ratio γ/β [=NO (A (2)Σ(+))/NO (B (2)Π)] is estimated to be γ/β ∼ 0.3 ± 0.1 by means of spectral simulation. These vibrational distributions of NO (A, B) can be essentially attributed to the product-pair correlations between CO (X, v″) and NO (A (2)Σ(+), v' = 0-2), NO (B (2)Π, v' = 0-2) due to energetic restriction under the vibrational distribution of CO (X, v″) produced from the vertical transition of CO (a (3)Π, v' = 0) → CO (X, v″) in the course of energy transfer. The steric opacity function has been determined at two wavelength regions: 220 < λ < 290 nm [NO (A → X) is dominant]; 320 < λ < 400 nm [NO (B → X) is dominant]. For both channels NO (A (2)Σ(+), B(2)Π), a significant CO (a (3)Π) alignment effect is recognized; the largest reactivity at the sideways direction with the small reactivity at the molecular axis direction is observed. These CO (a (3)Π) alignment effects can be essentially attributed to the steric asymmetry on two sets of molecular orbital overlap, [CO (2π) + NO (6σ (2π))] and [CO (5σ) + NO (1π (2π))]. All experimental observations support the electron exchange mechanism that is operative through the formation of a weakly bound complex OCNO.

Published
2011
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50. Mediastinal mature teratoma with elevated serum carbohydrate antigen 19-9 levels

Author

Shinnosuke Uegami, Y. Matsuura, Norimasa Mitsui, Shinji Hirai, and Yoshiharu Hamanaka

Subjects
Elevated serum, Mediastinal Mature Teratoma, Pathology, medicine.medical_specialty, business.industry, Medicine, business, Carbohydrate antigen
Abstract

43歳，女性．健診で縦隔腫瘍を疑われ当院受診，胸部CT，血液生化学的諸検査などが施行された．CA19-9の高値（108U/ml），前縦隔に約3×4cmの隔壁を有する嚢胞性病変が認められ，手術が施行された．腫瘍は左前縦隔に存在し，胸腺左葉と連続しており，左上葉，左縦隔胸膜とも強固に癒着していた．左上葉の部分切除と癒着した縦隔胸膜とを一塊にして胸腺摘出術を施行した．病理診断は膵組織を伴う成熟型奇形腫であった．術前上昇していたCA19-9は術後正常化し，腫瘍内産生が示唆された．成熟型奇形腫は診断時に無症状であっても周囲組織と強固な炎症性癒着を起こし，合併切除が必要になることがあり，注意を要すると考えられた．

Published
2008
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