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The quantum approximate optimization algorithm (QAOA) has become a cornerstone of contemporary quantum applications development.
Universal quantum simulators
Seth Lloyd · 1996
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Quantum annealing in the transverse ising model
Tadashi Kadowaki and Hidetoshi Nishimori · 1998
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Simulated quantum computation of molecular energies
Alán Aspuru-Guzik, Anthony D Dutoi, Peter J Love, and Martin Head-Gordon · 2005
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Efficient quantum simulation of fermionic and bosonic models in trapped ions
Lucas Lamata, Antonio Mezzacapo, Jorge Casanova, and Enrique Solano · 2014
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A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
Earlier work this paper cites.
Scalable quantum simulation of molecular energies
Peter JJ O’Malley, Ryan Babbush, Ian D Kivlichan, Jonathan Romero, Jarrod R McClean, Rami Barends, Julian Kelly, Pedram Roushan, Andrew Tranter, Nan Ding, et al · 2016
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The theory of variational hybrid quantum-classical algorithms
Jarrod R McClean, Jonathan Romero, Ryan Babbush, and Alán Aspuru-Guzik · 2016
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Performance of QAOA on Typical Instances of Constraint Satisfaction Problems with Bounded Degree
Cedric Yen-Yu Lin and Yechao Zhu · 2016
Earlier work this paper cites.
Quantum machine learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd · 2017
Earlier work this paper cites.
Near-optimal quantum circuit for grover’s unstructured search using a transverse field
Zhang Jiang, Eleanor G Rieffel, and Zhihui Wang · 2017
Earlier work this paper cites.
Unsupervised machine learning on a hybrid quantum computer
JS Otterbach, R Manenti, N Alidoust, A Bestwick, M Block, B Bloom, S Caldwell, N Didier, E Schuyler Fried, S Hong, et al · 2017
Cited alongside, same era.
Quantum machine learning for electronic structure calculations
Rongxin Xia and Sabre Kais · 2018
Cited alongside, same era.
Quantum approximate optimization is computationally universal
Seth Lloyd · 2018
Cited alongside, same era.
Performance of the quantum approximate optimization algorithm on the maximum cut problem
Gavin E Crooks · 2018
Cited alongside, same era.
Quantum approximate optimization algorithm for maxcut: A fermionic view
Zhihui Wang, Stuart Hadfield, Zhang Jiang, and Eleanor G Rieffel · 2018
Cited alongside, same era.
“zhores” — petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in skolkovo institute of science and technology
Igor Zacharov, Rinat Arslanov, Maksim Gunin, Daniil Stefonishin, Andrey Bykov, Sergey Pavlov, Oleg Panarin, Anton Maliutin, Sergey Rykovanov, and Maxim Fedorov · 2019
Later among the works it cites.
Quantum approximate optimization of the long-range ising model with a trapped-ion quantum simulator
Guido Pagano, Aniruddha Bapat, Patrick Becker, Katherine S Collins, Arinjoy De, Paul W Hess, Harvey B Kaplan, Antonis Kyprianidis, Wen Lin Tan, Christopher Baldwin, et al · 2020
Closest in time.
On the universality of the quantum approximate optimization algorithm
Mauro ES Morales, Jacob D Biamonte, and Zoltán Zimborás · 2020
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Reachability deficits in quantum approximate optimization
V. Akshay, H. Philathong, M. E. S. Morales, and J. D. Biamonte · 2020
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Benchmarking the quantum approximate optimization algorithm
Madita Willsch, Dennis Willsch, Fengping Jin, Hans De Raedt, and Kristel Michielsen · 2020
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Variational learning of grover’s quantum search algorithm
Mauro ES Morales, Timur Tlyachev, and Jacob Biamonte · 2018
Cited alongside, same era.
Large-scale silicon quantum photonics implementing arbitrary two-qubit processing
Xiaogang Qiang, Xiaoqi Zhou, Jianwei Wang, Callum M Wilkes, Thomas Loke, Sean O’Gara, Laurent Kling, Graham D Marshall, Raffaele Santagati, Timothy C Ralph, et al · 2018
Cited alongside, same era.
Quantum supremacy using a programmable superconducting processor
Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando GSL Brandao, David A Buell, et al · 2019
Cited alongside, same era.
A quantum walk-assisted approximate algorithm for bounded np optimisation problems
Samuel Marsh and JB Wang · 2019
Cited alongside, same era.
Closest in time.
Implementation of xy entangling gates with a single calibrated pulse
Deanna M Abrams, Nicolas Didier, Blake R Johnson, Marcus P da Silva, and Colm A Ryan · 2020
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Improved success probability with greater circuit depth for the quantum approximate optimization algorithm
Andreas Bengtsson, Pontus Vikstål, Christopher Warren, Marika Svensson, Xiu Gu, Anton Frisk Kockum, Philip Krantz, Christian Križan, Daryoush Shiri, Ida-Maria Svensson, et al · 2020
Closest in time.
Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
Matthew P Harrigan, Kevin J Sung, Matthew Neeley, Kevin J Satzinger, Frank Arute, Kunal Arya, Juan Atalaya, Joseph C Bardin, Rami Barends, Sergio Boixo, et al · 2021
Closest in time.
Universal variational quantum computation
Jacob Biamonte · 2021
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