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

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

School of Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2023 Conference on Lasers and Electro-Optics, CLEO 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781957171258
Publication status	Published - 2023
Event	2023 Conference on Lasers and Electro-Optics, CLEO 2023 - San Jose, United States Duration: 7 May 2023 → 12 May 2023

Publication series

Name	2023 Conference on Lasers and Electro-Optics, CLEO 2023

Conference

Conference	2023 Conference on Lasers and Electro-Optics, CLEO 2023
Country/Territory	United States
City	San Jose
Period	7/05/23 → 12/05/23

Cite this

Zhu, H. H., Chen, H. S., Li, S. Y., Chen, T., Cai, H., Chin, L. P., Zhang, X. D., & Liu, A. Q. (2023). A Gaussian Boson Sampling for Graph Computation. In 2023 Conference on Lasers and Electro-Optics, CLEO 2023 Article FM3A.1 (2023 Conference on Lasers and Electro-Optics, CLEO 2023). Institute of Electrical and Electronics Engineers Inc..

@inproceedings{080c0ade95f04f5385a328aded4c2016,

title = "A Gaussian Boson Sampling for Graph Computation",

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.",

author = "Zhu, {H. H.} and Chen, {H. S.} and Li, {S. Y.} and T. Chen and H. Cai and Chin, {L. P.} and Zhang, {X. D.} and Liu, {A. Q.}",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023.; 2023 Conference on Lasers and Electro-Optics, CLEO 2023 ; Conference date: 07-05-2023 Through 12-05-2023",

year = "2023",

language = "English",

series = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 Conference on Lasers and Electro-Optics, CLEO 2023",

address = "United States",

}

Zhu, HH, Chen, HS, Li, SY, Chen, T, Cai, H, Chin, LP, Zhang, XD & Liu, AQ 2023, A Gaussian Boson Sampling for Graph Computation. in 2023 Conference on Lasers and Electro-Optics, CLEO 2023., FM3A.1, 2023 Conference on Lasers and Electro-Optics, CLEO 2023, Institute of Electrical and Electronics Engineers Inc., 2023 Conference on Lasers and Electro-Optics, CLEO 2023, San Jose, United States, 7/05/23.

A Gaussian Boson Sampling for Graph Computation. / Zhu, H. H.; Chen, H. S.; Li, S. Y. et al.
2023 Conference on Lasers and Electro-Optics, CLEO 2023. Institute of Electrical and Electronics Engineers Inc., 2023. FM3A.1 (2023 Conference on Lasers and Electro-Optics, CLEO 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Gaussian Boson Sampling for Graph Computation

AU - Zhu, H. H.

AU - Chen, H. S.

AU - Li, S. Y.

AU - Chen, T.

AU - Cai, H.

AU - Chin, L. P.

AU - Zhang, X. D.

AU - Liu, A. Q.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85176342797&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85176342797

T3 - 2023 Conference on Lasers and Electro-Optics, CLEO 2023

BT - 2023 Conference on Lasers and Electro-Optics, CLEO 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 Conference on Lasers and Electro-Optics, CLEO 2023

Y2 - 7 May 2023 through 12 May 2023

ER -

A Gaussian Boson Sampling for Graph Computation

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