A Gaussian Boson Sampling for Graph Computation

H. H. Zhu, H. S. Chen, S. Y. Li, T. Chen, H. Cai, L. P. Chin, X. D. Zhang, A. Q. Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A gaussian boson sampling microprocessor for graph applications, such as solving task assignment, Boolean satisfiability, graph clique, max cut, vertex cover problems, is demonstrated and achieved. It manifests the ability of photonic quantum computing to realize practical applications for conventionally intractable computations.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationFundamental Science, CLEO:FS 2023
PublisherOptical Society of America
ISBN (Electronic)9781957171258
DOIs
Publication statusPublished - 2023
EventCLEO: Fundamental Science, CLEO:FS 2023 - Part of Conference on Lasers and Electro-Optics 2023 - San Jose, United States
Duration: 7 May 202312 May 2023

Publication series

NameCLEO: Fundamental Science, CLEO:FS 2023

Conference

ConferenceCLEO: Fundamental Science, CLEO:FS 2023 - Part of Conference on Lasers and Electro-Optics 2023
Country/TerritoryUnited States
CitySan Jose
Period7/05/2312/05/23

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