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Your search keyword '"Chin, Hou Man"' showing total 10 results
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10 results on '"Chin, Hou Man"'

1. Machine learning based joint polarization and phase compensation for CV-QKD

Author

Chin, Hou Man, Hajomer, Adnan A.E., Jain, Nitin, Andersen, Ulrik L., Gehring, Tobias, Chin, Hou Man, Hajomer, Adnan A.E., Jain, Nitin, Andersen, Ulrik L., and Gehring, Tobias

Abstract

We investigated a machine learning method for joint estimation of polarization and phase for use in a Gaussian modulated CV-QKD system, over an 18 hour period measured on a installed fiber with 5.5 dB attenuation.

Published
2023

3. Advancing classical and quantum communication systems with machine learning

Author

Zibar, Darko, Moura, Uiara Celine de, Chin, Hou-Man, Brusin, Ann M. Rosa, Jain, Nitin, Da Ros, Francesco, Kleis, Sebastian, Schaeffer, C., Gehring, Tobias, Andersen, Ulrik Lund, Carena, Andrea, Zibar, Darko, Moura, Uiara Celine de, Chin, Hou-Man, Brusin, Ann M. Rosa, Jain, Nitin, Da Ros, Francesco, Kleis, Sebastian, Schaeffer, C., Gehring, Tobias, Andersen, Ulrik Lund, and Carena, Andrea

Abstract

A perspective on how machine learning can aid the next–generation of classical and quantum optical communication systems is given. We focus on the design of Raman amplifiers and phase tracking at the quantum limit.

Published
2020

6. Highly-Sensitive Phase and Frequency Noise Measurement Technique Using Bayesian Filtering.

Author

Zibar, Darko, Chin, Hou-Man, Tong, Yeyu, Jain, Nitin, Guo, Joel, Chang, Lin, Gehring, Tobias, Bowers, John E., and Andersen, Ulrik L.

Abstract

Spectral purity of laser sources is typically investigated using phase or frequency noise measurements, which require extraction of the optical phase. This is a challenging task if the signal–to–noise–ratio (SNR) of the spectral line or the linewidth–to–noise–ratio (LNR) are not sufficiently high. In this letter, we present a statistically optimal method for optical phase noise measurement that relies on coherent detection and Bayesian filtering. The proposed method offers a record sensitivity, as the optical phase is measured at a signal power of −75 dBm (SNR of −11 dB in 1.1 GHz receiver bandwidth). Practically, this means that the phase noise measurements are, up to a high–degree, not limited by the measurement noise floor. This allows measurements down to −200 dB rad2/Hz and up to 10 GHz, which is useful when measuring the Schawlow–Townes (quantum noise limited) laser linewidth. Finally, the estimated optical phase is highly accurate allowing for quantum limited signal demodulation. The method thus holds the potential to become a reference measurement tool. [ABSTRACT FROM AUTHOR]

Published
2019
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10. Non-linear compensation techniques for coherent fibre transmission.

Author

Forzati, Marco, Martensson, Jonas, Chin, Hou-Man, Mussolin, Marco, Rafique, Danish, and Guiomar, Fernando

Abstract

Thanks to coherent detection and digital signal processing (DSP), linear distortions such as chromatic dispersion (CD) and polarisation mode dispersion (PMD) can in principle be completely compensated for in high-speed optical transmission. And indeed, effective algorithms have been devised and extensively investigated that allow CD- and PMD-resilient transmission of high-speed signals over long distances, leaving optical noise accumulation and non-linear impairments as the factors ultimately limiting reach. Considerable research has been dedicated in the last couple of years to devise methods to increase the non-linear tolerance of optical signals by means of digital signal processing. In this review paper, we present an overview of the most promising techniques, show some examples of their application and outline the status of research on this important topic. [ABSTRACT FROM PUBLISHER]

Published
2011
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