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Finding high-quality parameters is a central obstacle to using the quantum approximate optimization algorithm (QAOA).
“Updating quasi-Newton matrices with limited storage”
Jorge Nocedal · 1980
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Dong. Liu and Jorge Nocedal · 1989
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William. Press, Brian. Flannery and Saul. Teukolsky · 1993
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Tad Hogg and Dmitriy Portnov · 2000
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F. Pedregosa et al · 2011
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“A quantum approximate optimization algorithm”
Edward Farhi, Jeffrey Goldstone and Sam Gutmann · 2014
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“Ising formulations of many NP problems”
Andrew Lucas · 2014
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“Performance of the quantum approximate optimization algorithm on the maximum cut problem”
Gavin Crooks · 2018
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Fernando G. S.. Brand“˜ao et al · 2018
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“Quantum algorithms for scientific computing and approximate optimization”, 2018
Stuart Hadfield · 2018
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“Quantum approximate optimization algorithm for MaxCut: A fermionic view”
Zhihui Wang, Stuart Hadfield, Zhang Jiang and Eleanor. Rieffel · 2018
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“Quantum supremacy using a programmable superconducting processor”
Frank Arute et al · 2019
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“Evaluating Quantum Approximate Optimization Algorithm: A Case Study”
Ruslan Shaydulin and Yuri Alexeev · 2019
Cited alongside, same era.
“Multistart methods for quantum approximate optimization”
Ruslan Shaydulin, Ilya Safro and Jeffrey Larson · 2019
Cited alongside, same era.
E. Farhi, J. Goldstone, S. Gutmann and L. Zhou · 2020
Cited alongside, same era.
“Tensor Network Quantum Simulator with Step-Dependent Parallelization”
Danylo Lykov et al · 2020
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“Quantum approximate optimization algorithm: Performance, mechanism, and implementation on near-term devices”
Leo Zhou et al · 2020
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“Exploiting Symmetry Reduces the Cost of Training QAOA”
Ruslan Shaydulin and Stefan. Wild · 2021
Later among the works it cites.
“Empirical performance bounds for quantum approximate optimization”
Phillip. Lotshaw et al · 2021
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“Transferability of optimal QAOA parameters between random graphs”
Alexey Galda et al · 2021
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“The fixed angle conjecture for QAOA on regular MaxCut graphs”
Jonathan Wurtz and Danylo Lykov · 2021
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“QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of QAOA”
Ruslan Shaydulin, Kunal Marwaha, Jonathan Wurtz and Phillip Lotshaw · 2021
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“Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems”
Sami Khairy et al · 2020
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“Quantum approximate optimization of non-planar graph problems on a planar superconducting processor”
Matthew. Harrigan et al · 2021
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“Quantum Computer Systems for Scientific Discovery”
Yuri Alexeev et al · 2021
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“Counterdiabaticity and the quantum approximate optimization algorithm”
Jonathan Wurtz and Peter Love · 2021
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Sami Boulebnane and Ashley Montanaro · 2021
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“MaxCut quantum approximate optimization algorithm performance guarantees for p > 1 p>1 ”
Jonathan Wurtz and Peter Love · 2021
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“Classical variational simulation of the Quantum Approximate Optimization Algorithm”
Matija Medvidovi“’c and Giuseppe Carleo · 2021
Cited alongside, same era.
Asier Ozaeta, Wim van Dam and Peter. McMahon · 2021
Later among the works it cites.
Joao Basso et al · 2021
Later among the works it cites.
, [Online] https://github.com/QAOAKit/QAOAKit/blob/7bdede1b4ca2a3e1aedfdbdb2282ee89ce0fc5f2/examples/weighted_transfer.ipynb , 2022
2022
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, [Online] https://github.com/QAOAKit/data/blob/bdd9220486b456ce93727d75ede9308a4fc8a9c8/transfer_qaoa_weighted/all_transfer.zip , 2022
2022
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, [Online] https://github.com/QAOAKit/data/blob/bdd9220486b456ce93727d75ede9308a4fc8a9c8/transfer_qaoa_weighted/bfgs.zip , 2022
2022
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, [Online] https://github.com/QAOAKit/QAOAKit/blob/7bdede1b4ca2a3e1aedfdbdb2282ee89ce0fc5f2/examples/_reproduce_all_figures_from_Parameter_Transfer_for_Quantum_Approximate_Optimization_of_Weighted_MaxCut.ipynb , 2022
2022
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“The NLopt nonlinear-optimization package” http://github.com/stevengj/nlopt, 2022
Steven. Johnson · 2022
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