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We comparatively study, through large-scale numerical simulation, the performance across a large set of Quantum Alternating Operator Ansatz (QAOA) implementations for finding approximate and optimum solutions to unconstrained combinatorial optimization problems.
“Reachability Deficits in Quantum Approximate Optimization”
V. Akshay, H. Philathong, M. E. S. Morales, and J. D. Biamonte · 1906
Earlier work this paper cites.
“The Quantum Alternating Operator Ansatz on Maximum k-Vertex Cover”
Jeremy Cook, Stephan Eidenbenz, and Andreas Bärtschi · 1910
Earlier work this paper cites.
“Phase transitions and backbones of 3-sat and maximum 3-sat”
Weixiong Zhang · 2001
Earlier work this paper cites.
“Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation”
Andreas Bärtschi and Stephan Eidenbenz · 2006
Earlier work this paper cites.
“A Quantum Approximate Optimization Algorithm” (2014)
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
Earlier work this paper cites.
“From the quantum approximate optimization algorithm to a quantum alternating operator ansatz”
Stuart Hadfield, Zhihui Wang, Bryan O’Gorman, Eleanor G Rieffel, Davide Venturelli, and Rupak Biswas · 2019
Cited alongside, same era.
“Bridging classical and quantum with sdp initialized warm-starts for qaoa” (2020)
Reuben Tate, Majid Farhadi, Creston Herold, Greg Mohler, and Swati Gupta · 2020
Cited alongside, same era.
“Warm-starting quantum optimization”
Daniel J Egger, Jakub Mareček, and Stefan Woerner · 2021
Cited alongside, same era.
“Threshold-Based Quantum Optimization”
John Golden, Andreas Bärtschi, Daniel O’Malley, and Stephan Eidenbenz · 2021
Cited alongside, same era.
“The fixed angle conjecture for qaoa on regular maxcut graphs” (2021)
Jonathan Wurtz and Danylo Lykov · 2021
Cited alongside, same era.
“Evidence for super-polynomial advantage of QAOA over unstructured search” (2022)
John Golden, Andreas Bärtschi, Stephan Eidenbenz, and Daniel O’Malley · 2022
Later among the works it cites.
“Counterdiabaticity and the quantum approximate optimization algorithm”
Jonathan Wurtz and Peter J. Love · 2022
Later among the works it cites.
“Unsupervised strategies for identifying optimal parameters in quantum approximate optimization algorithm”
Charles Moussa, Hao Wang, Thomas Bäck, and Vedran Dunjko · 2022
Later among the works it cites.
“Optimal mixing in qaoa” (2023)
John Golden, Yigit Subasi, Andreas Bärtschi, and Stephan Eidenbenz · 2023
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