A Quantum Photonic Chip for Binary Classification

H. X. Lin; H. Zhang; H. Cai; P. Griffin; A. Q. Liu

doi:10.1364/CLEO_AT.2023.JW2A.64

A Quantum Photonic Chip for Binary Classification

H. X. Lin, H. Zhang, H. Cai, P. Griffin, A. Q. Liu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

On the silicon photonic chip, we apply Mach Zehnder Interferometer (MZI) and optical network to manipulate the phase difference and amplitude distribution of the input light. The two or three-dimensional input data is encoded in the light amplitude distribution and the genetic algorithm is applied to update the angle parameters of the MZIs to improve the classification result.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Science and Innovations, CLEO:S and I 2023
Publisher	Optical Society of America
ISBN (Electronic)	9781957171258
DOIs	https://doi.org/10.1364/CLEO_AT.2023.JW2A.64
Publication status	Published - May 2023
Externally published	Yes
Event	CLEO: Science and Innovations, CLEO:S and I 2023 - Part of Conference on Lasers and Electro-Optics 2023 - San Jose, United States Duration: 7 May 2023 → 12 May 2023

Publication series

Name	CLEO: Science and Innovations, CLEO:S and I 2023

Conference

Conference	CLEO: Science and Innovations, CLEO:S and I 2023 - Part of Conference on Lasers and Electro-Optics 2023
Country/Territory	United States
City	San Jose
Period	7/05/23 → 12/05/23

ASJC Scopus subject areas

General Computer Science
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering
Instrumentation

More information

10.1364/CLEO_AT.2023.JW2A.64

Cite this

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title = "A Quantum Photonic Chip for Binary Classification",

abstract = "On the silicon photonic chip, we apply Mach Zehnder Interferometer (MZI) and optical network to manipulate the phase difference and amplitude distribution of the input light. The two or three-dimensional input data is encoded in the light amplitude distribution and the genetic algorithm is applied to update the angle parameters of the MZIs to improve the classification result.",

author = "Lin, {H. X.} and H. Zhang and H. Cai and P. Griffin and Liu, {A. Q.}",

note = "Publisher Copyright: {\textcopyright} 2023 The Author (s).; CLEO: Science and Innovations, CLEO:S and I 2023 - Part of Conference on Lasers and Electro-Optics 2023 ; Conference date: 07-05-2023 Through 12-05-2023",

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doi = "10.1364/CLEO_AT.2023.JW2A.64",

language = "English",

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Lin, HX, Zhang, H, Cai, H, Griffin, P & Liu, AQ 2023, A Quantum Photonic Chip for Binary Classification. in CLEO: Science and Innovations, CLEO:S and I 2023. CLEO: Science and Innovations, CLEO:S and I 2023, Optical Society of America, CLEO: Science and Innovations, CLEO:S and I 2023 - Part of Conference on Lasers and Electro-Optics 2023, San Jose, United States, 7/05/23. https://doi.org/10.1364/CLEO_AT.2023.JW2A.64

A Quantum Photonic Chip for Binary Classification. / Lin, H. X.; Zhang, H.; Cai, H. et al.
CLEO: Science and Innovations, CLEO:S and I 2023. Optical Society of America, 2023. (CLEO: Science and Innovations, CLEO:S and I 2023).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - On the silicon photonic chip, we apply Mach Zehnder Interferometer (MZI) and optical network to manipulate the phase difference and amplitude distribution of the input light. The two or three-dimensional input data is encoded in the light amplitude distribution and the genetic algorithm is applied to update the angle parameters of the MZIs to improve the classification result.

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T3 - CLEO: Science and Innovations, CLEO:S and I 2023

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A Quantum Photonic Chip for Binary Classification

Abstract

Publication series

Conference

ASJC Scopus subject areas

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