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1. Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets

Author

Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, P. Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, and Mohammad H. Amin

Subjects
Science
Abstract

Experimental demonstration of quantum speedup that scales with the system size is the goal of near-term quantum computing. Here, the authors demonstrate such scaling advantage for a D-Wave quantum annealer over analogous classical algorithms in simulations of frustrated quantum magnets.

Published
2021
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2. Architectural considerations in the design of a third-generation superconducting quantum annealing processor

Author

Boothby, Kelly, Enderud, Colin, Lanting, Trevor, Molavi, Reza, Tsai, Nicholas, Volkmann, Mark H., Altomare, Fabio, Amin, Mohammad H., Babcock, Michael, Berkley, Andrew J., Aznar, Catia Baron, Boschnak, Martin, Christiani, Holly, Ejtemaee, Sara, Evert, Bram, Gullen, Matthew, Hager, Markus, Harris, Richard, Hoskinson, Emile, Hilton, Jeremy P., Jooya, Kais, Huang, Ann, Johnson, Mark W., King, Andrew D., Ladizinsky, Eric, Li, Ryan, MacDonald, Allison, Fernandez, Teresa Medina, Neufeld, Richard, Norouzpour, Mana, Oh, Travis, Ozfidan, Isil, Paddon, Paul, Perminov, Ilya, Poulin-Lamarre, Gabriel, Prescott, Thomas, Raymond, Jack, Reis, Mauricio, Rich, Chris, Roy, Aidan, Esfahani, Hossein Sadeghi, Sato, Yuki, Sheldan, Ben, Smirnov, Anatoly, Swenson, Loren J., Whittaker, Jed, Yao, Jason, Yarovoy, Alexander, and Bunyk, Paul I.

Subjects
Quantum Physics
Abstract

Early generations of superconducting quantum annealing processors have provided a valuable platform for studying the performance of a scalable quantum computing technology. These studies have directly informed our approach to the design of the next-generation processor. Our design priorities for this generation include an increase in per-qubit connectivity, a problem Hamiltonian energy scale similar to previous generations, reduced Hamiltonian specification errors, and an increase in the processor scale that also leaves programming and readout times fixed or reduced. Here we discuss the specific innovations that resulted in a processor architecture that satisfies these design priorities.

Published
2021

3. Scaling advantage in quantum simulation of geometrically frustrated magnets.

Author

Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, Paul Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, and Mohammad H. Amin

Published
2019

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