Determinating Full Parameters of U-Matrix for Reconfigurable Boson Sampling Circuits using Machine Learning

L. X. Wan, H. Zhang, J. G. Huang, G. Zhang, L. C. Kwek, J. Fitzsimons, Y. D. Chong, J. B. Gong, A. Szameit, X. Q. Zhou, M. H. Yung, X. M. Jin, X. L. Su, W. Ser, W. B. Gao, A. Q. Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

A method of tuning a reconfigurable silicon photonic circuit into an arbitrary unitary operator with machine learning was proposed to bypass the traditional phase-voltage calibration process and make the prediction of applied heating voltage directly.

Original languageEnglish
Title of host publication2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781943580422
Publication statusPublished - 6 Aug 2018
Externally publishedYes
Event2018 Conference on Lasers and Electro-Optics, CLEO 2018 - San Jose, United States
Duration: 13 May 201818 May 2018

Publication series

Name2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings

Conference

Conference2018 Conference on Lasers and Electro-Optics, CLEO 2018
Country/TerritoryUnited States
CitySan Jose
Period13/05/1818/05/18

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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