A quantum photonic chip for binary classification
Publication Type
Conference Proceeding Article
Publication Date
5-2023
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.
Discipline
Software Engineering | Theory and Algorithms
Research Areas
Software and Cyber-Physical Systems
Publication
CLEO: Conference on Lasers and Electro-Optics: Applications and Technology 2023: San Jose, CA, 7-12 May: Proceedings
ISBN
9781957171258
Publisher
Optica
City or Country
Washington, DC
Citation
Lin, H. X.; Zhang, H.; Cai, H.; GRIFFIN, Paul Robert; and Liu, A. Q..
A quantum photonic chip for binary classification. (2023). CLEO: Conference on Lasers and Electro-Optics: Applications and Technology 2023: San Jose, CA, 7-12 May: Proceedings.
Available at: https://ink.library.smu.edu.sg/sis_research/8342
Additional URL
https://opg.optica.org/abstract.cfm?uri=cleo_at-2023-JW2A.64