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Quantum annealing is a heuristic optimization algorithm that exploits quantum evolution to approximately find lowest energy states.
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S. Mandrà, H. G. Katzgraber, and C. Thomas, The pitfalls of planar spin-glass benchmarks: RaIsing the bar for quantum annealers (again), Quantum Science and Technology 2
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2019
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2019
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P. Hauke, H. G. Katzgraber, W. Lechner, H. Nishimori, and W. D. Oliver, Perspectives of quantum annealing: Methods and implementations, Reports on Progress in Physics (2020)
2020
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2021
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2021
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M. Kowalsky, T. Albash, I. Hen, and D. A. Lidar, 3-regular three-xorsat planted solutions benchmark of classical and quantum heuristic optimizers, Quantum Science and Technology 7
2022
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2022
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D. M. Tennant, X. Dai, A. J. Martinez, R. Trappen, D. Melanson, M. A. Yurtalan, Y. Tang, S. Bedkihal, R. Yang, S. Novikov, J. A. Grover, S. M. Disseler, J. I. Basham, R. Das, D. K. Kim, A. J. Melville, B. M. Niedzielski, S. J. Weber, J. L. Yoder, A. J. Kerman, E. Mozgunov, D. A. Lidar, and A. Lupascu, Demonstration of long-range correlations via susceptibility measurements in a one-dimensional superconducting Josephson spin chain, npj Quantum Information 8
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2022
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A. D. King, J. Raymond, T. Lanting, R. Harris, A. Zucca, F. Altomare, A. J. Berkley, K. Boothby, S. Ejtemaee, C. Enderud, E. Hoskinson, S. Huang, E. Ladizinsky, A. J. R. MacDonald, G. Marsden, R. Molavi, T. Oh, G. Poulin-Lamarre, M. Reis, C. Rich, Y. Sato, N. Tsai, M. Volkmann, J. D. Whittaker, J. Yao, A. W. Sandvik, and M. H. Amin, Quantum critical dynamics in a 5,000-qubit programmable spin glass, Nature 617
2023
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