Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
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Published:2021-02-04
Issue:3
Volume:17
Page:332-336
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ISSN:1745-2473
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Container-title:Nature Physics
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language:en
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Short-container-title:Nat. Phys.
Author:
Harrigan Matthew P.ORCID, Sung Kevin J., Neeley MatthewORCID, Satzinger Kevin J.ORCID, Arute Frank, Arya Kunal, Atalaya Juan, Bardin Joseph C.ORCID, Barends Rami, Boixo SergioORCID, Broughton Michael, Buckley Bob B., Buell David A., Burkett BrianORCID, Bushnell Nicholas, Chen Yu, Chen Zijun, Ben Chiaro , Collins Roberto, Courtney William, Demura Sean, Dunsworth Andrew, Eppens DanielORCID, Fowler Austin, Foxen Brooks, Gidney Craig, Giustina Marissa, Graff Rob, Habegger SteveORCID, Ho Alan, Hong Sabrina, Huang Trent, Ioffe L. B., Isakov Sergei V., Jeffrey Evan, Jiang Zhang, Jones Cody, Kafri Dvir, Kechedzhi Kostyantyn, Kelly Julian, Kim Seon, Klimov Paul V., Korotkov Alexander N., Kostritsa Fedor, Landhuis DavidORCID, Laptev Pavel, Lindmark Mike, Leib MartinORCID, Martin Orion, Martinis John M., McClean Jarrod R., McEwen MattORCID, Megrant Anthony, Mi Xiao, Mohseni Masoud, Mruczkiewicz WojciechORCID, Mutus Josh, Naaman OferORCID, Neill Charles, Neukart FlorianORCID, Niu Murphy Yuezhen, O’Brien Thomas E., O’Gorman Bryan, Ostby Eric, Petukhov Andre, Putterman HaraldORCID, Quintana Chris, Roushan Pedram, Rubin Nicholas C., Sank Daniel, Skolik Andrea, Smelyanskiy Vadim, Strain Doug, Streif Michael, Szalay Marco, Vainsencher Amit, White Theodore, Yao Z. Jamie, Yeh PingORCID, Zalcman AdamORCID, Zhou LeoORCID, Neven Hartmut, Bacon Dave, Lucero Erik, Farhi Edward, Babbush RyanORCID
Funder
Dave Bacon is a CIFAR Associate Fellow in the Quantum Information Science Program EC | Horizon 2020 Framework Programme
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy
Reference39 articles.
1. Farhi, E., Goldstone, J. & Gutmann, S. A quantum approximate optimization algorithm. Preprint at https://arxiv.org/abs/1411.4028 (2014). 2. Farhi, E., Goldstone, J. & Gutmann, S. A quantum approximate optimization algorithm applied to a bounded occurrence constraint problem. Preprint at https://arxiv.org/abs/1412.6062 (2014). 3. Biswas, R. et al. A NASA perspective on quantum computing: opportunities and challenges. Parallel Comput. 64, 81–98 (2017). 4. Wecker, D., Hastings, M. B. & Troyer, M. Training a quantum optimizer. Phys. Rev. A 94, 022309 (2016). 5. Farhi, E. & Harrow, A. W. Quantum supremacy through the quantum approximate optimization algorithm. Preprint at https://arxiv.org/abs/1602.07674 (2016).
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