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 / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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 publication2023 Conference on Lasers and Electro-Optics, CLEO 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171258
Publication statusPublished - May 2023
Externally publishedYes
Event2023 Conference on Lasers and Electro-Optics, CLEO 2023 - San Jose, United States
Duration: 7 May 202312 May 2023

Publication series

Name2023 Conference on Lasers and Electro-Optics, CLEO 2023

Conference

Conference2023 Conference on Lasers and Electro-Optics, CLEO 2023
Country/TerritoryUnited States
CitySan Jose
Period7/05/2312/05/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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