Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator
Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator
About this item
Full title
Author / Creator
Iowa State Univ., Ames, IA (United States) , Duke Univ., Durham, NC (United States) , Pagano, Guido , Bapat, Aniruddha , Becker, Patrick , Collins, Katherine S. , De, Arinjoy , Hess, Paul W. , Kaplan, Harvey B. , Kyprianidis, Antonis , Tan, Wen Lin , Baldwin, Christopher , Brady, Lucas T. , Deshpande, Abhinav , Liu, Fangli , Jordan, Stephen , Gorshkov, Alexey V. and Monroe, Christopher
Publisher
Washington: National Academy of Sciences
Journal title
Language
English
Formats
Publication information
Publisher
Washington: National Academy of Sciences
Subjects
More information
Scope and Contents
Contents
Quantum computers and simulators may offer significant advantages over their classical counterparts, providing insights into quantum many-body systems and possibly improving performance for solving exponentially hard problems, such as optimization and satisfiability. Here, we report the implementation of a low-depth Quantum Approximate Optimization...
Alternative Titles
Full title
Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator
Authors, Artists and Contributors
Author / Creator
Duke Univ., Durham, NC (United States)
Pagano, Guido
Bapat, Aniruddha
Becker, Patrick
Collins, Katherine S.
De, Arinjoy
Hess, Paul W.
Kaplan, Harvey B.
Kyprianidis, Antonis
Tan, Wen Lin
Baldwin, Christopher
Brady, Lucas T.
Deshpande, Abhinav
Liu, Fangli
Jordan, Stephen
Gorshkov, Alexey V.
Monroe, Christopher
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7568299
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7568299
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.2006373117
