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.
N1 - Publisher Copyright:
© Optica Publishing Group 2023.
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=85191011042&partnerID=8YFLogxK
U2 - 10.1364/CLEO_FS.2023.FM3A.1
DO - 10.1364/CLEO_FS.2023.FM3A.1
M3 - Conference contribution
AN - SCOPUS:85191011042
T3 - CLEO: Fundamental Science, CLEO:FS 2023
BT - CLEO
PB - Optical Society of America
T2 - CLEO: Fundamental Science, CLEO:FS 2023 - Part of Conference on Lasers and Electro-Optics 2023
Y2 - 7 May 2023 through 12 May 2023
ER -