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We propose a standardized methodology for developing and evaluating use cases for quantum computers and quantum inspired methods.
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
Daphne Koller and Nir Friedman · 2009
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A study of heuristic guesses for adiabatic quantum computation
Alejandro Perdomo-Ortiz, Salvador E. Venegas-Andraca, and Alán Aspuru-Guzik · 2011
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Quantum annealing algorithm for vehicle scheduling
A. Crispin and A. Syrichas · 2013
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An alternative approach to construct the initial hamiltonian of the adiabatic quantum computation
Qian-Heng Duan, Shuo Zhang, Wei Wu, and Ping-Xing Chen · 2013
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Adiabatic quantum computing for finding low-peak-sidelobe codes, 2014
G. E. Coxson, C. R. Hill, and J. C. Russo · 2014
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A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
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Quantum annealing implementation of job-shop scheduling
Davide Venturelli, Dominic J. J. Marchand, and Galo Rojo · 2015
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A NASA perspective on quantum computing: Opportunities and challenges
Rupak Biswas, Zhang Jiang, Kostya Kechezhi, Sergey Knysh, Salvatore Mandrà, Bryan O’Gorman, Alejandro Perdomo-Ortiz, Andre Petukhov, John Realpe-Gomez, Eleanor Rieffel, Davide Venturelli, Fedir Vasko, and Zhihui Wang · 2016
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Portfolio Optimization: Applications in Quantum Computing
Michael Marzec · 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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Simulated quantum annealing can be exponentially faster than classical simulated annealing
E. Crosson and A. W. Harrow · 2016
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Maximum–entropy inference with a programmable annealer
N. Chancellor, S. Szoke, W. Vinci, G. Aeppli, and P. A. Warburton · 2016
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Commercialize quantum technologies in five years
Masoud Mohseni, Peter Read, Hartmut Neven, Sergio Boixo, Vasil Denchev, Ryan Babbush, Austin Fowler, Vadim Smelyanskiy, and John Martinis · 2017
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Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M. Chow, and Jay M. Gambetta · 2017
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Modernizing quantum annealing using local searches
A hybrid solution method for the capacitated vehicle routing problem using a quantum annealer
Sebastian Feld, Christoph Roch, Thomas Gabor, Christian Seidel, Florian Neukart, Isabella Galter, Wolfgang Mauerer, and Claudia Linnhoff-Popien · 2019
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Quantum annealing applied to de-conflicting optimal trajectories for air traffic management
T. Stollenwerk, B. O’Gorman, D. Venturelli, S. Mandrà, O. Rodionova, H. Ng, B. Sridhar, E. G. Rieffel, and R. Biswas · 2019
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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
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https://www.dwavesys.com/sites/default/files/14-1018A-A_Reverse_Quantum_Annealing_for_Local_Refinement_of_Solutions.pdf , 2019
Reverse quantum annealing for local refinement of solutions · 2019
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Quantum annealing with longitudinal bias fields
Tobias Graß · 2019
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Nicholas Chancellor · 2017
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An approach to quantum-computational hydrologic inverse analysis
Daniel O’Malley · 2018
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Forecasting financial crashes with quantum computing
Roman Orus, Samuel Mugel, and Enrique Lizaso · 2018
Cited alongside, same era.
Quantum Computing in the NISQ era and beyond
John Preskill · 2018
Cited alongside, same era.
An application of quantum annealing computing to seismic inversion
Alexandre M. Souza, Leonardo J. L. Cirto, Eldues O. Martins, N. Linneu Hollanda, Itzhak Roditi, Maury D. Correia, Nahum Sá, Roberto S. Sarthour, and Ivan S. Oliveira · 2020
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To quantum or not to quantum: towards algorithm selection in near-term quantum optimization
Charles Moussa, Henri Calandra, and Vedran Dunjko · 2020
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A review of quantum-inspired metaheuristics: Going from classical computers to real quantum computers
O. H. Montiel Ross · 2020
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The white book of… quantum computing, 2020
David Snelling, Fritz Schinkel, and Manju Annie Oommen · 2020
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