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Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781943580576
DOIs
DatePublished - 1 May 2019
Event2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States
Duration: 5 May 201910 May 2019

Publication series

Name2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

Conference

Conference2019 Conference on Lasers and Electro-Optics, CLEO 2019
CountryUnited States
CitySan Jose
Period5/05/1910/05/19

Abstract

Optimal method are applied in characterizing and reconstructing designed unitary matrices on linear optical circuit. The scheme is based on the measurement of single-photon and two-photon statistics using coherent beams.

    Research areas

  • Optical design, Photonics, Genetic Algorithms, Structural beams, quantum computing, quantum gates

Event

2019 Conference on Lasers and Electro-Optics, CLEO 2019

Duration5 May 201910 May 2019
CitySan Jose
CountryUnited States
SponsorsAdValue Photonics (External organisation), American Elements (External organisation), Class5 Photonics (External organisation), Coherent (External organisation), et al. (External organisation), GoFoton (External organisation)

Event: Conference

Documents

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