A Quantum Photonic Chip for Binary Classification

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

doi:10.1364/CLEO_AT.2023.JW2A.64

CLEO 2023
Technical Digest Series (Optica Publishing Group, 2023),
paper JW2A.64
•https://doi.org/10.1364/CLEO_AT.2023.JW2A.64

A Quantum Photonic Chip for Binary Classification

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

CLEO: Fundamental Science 2023

San Jose, CA United States
7–12 May 2023
ISBN: 978-1-957171-25-8

From the session
Joint Poster Session II (JW2A)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
H. X. Lin, H. Zhang, H. Cai, P. Griffin, and A. Q. Liu, "A Quantum Photonic Chip for Binary Classification," in CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper JW2A.64.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

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.

PDF Article

More Like This

Gradient-based Quantum Neural Network Using Quantum Computing Chips

Y. C. Zhan, H. Zhang, H. Cai, D. P. Poenar, L. C. Kwek, and A. Q. Liu
JTh2A.22 CLEO: Applications and Technology (CLEO:A&T) 2023

Quantum Photonic chip-based Realization of Logic Gates

Y. Li, H. Zhang, H.H. Zhu, L. C. Kwek, and A. Q. Liu
FM3A.3 CLEO: Fundamental Science (CLEO:FS) 2023

Quantum-Optimal Binary Object Classification in Sub-Diffraction Incoherent Imaging

Michael R. Grace and Saikat Guha
FW3N.4 CLEO: QELS_Fundamental Science (CLEO:FS) 2021

Previous Article Next Article

Poster Presentation

Media 1: PDF (1195 KB)