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Quantum annealing offers a novel approach to finding the optimal solutions for a variety of computational problems, where the quantum annealing controls influence the observed performance and error mechanisms by tuning the underlying quantum dynamics.
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Jung-Fa Tsai, John Gunnar Carlsson, Dongdong Ge, Yi-Chung Hu, and Jianming Shi · 2014
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Entanglement in a quantum annealing processor
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Glassy chimeras could be blind to quantum speedup: Designing better benchmarks for quantum annealing machines
Helmut G Katzgraber, Firas Hamze, and Ruben S Andrist · 2014
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Error-corrected quantum annealing with hundreds of qubits
Kristen L Pudenz, Tameem Albash, and Daniel A Lidar · 2014
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Andrew Lucas · 2014
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Traffic flow optimization using a quantum annealer
Florian Neukart, Gabriele Compostella, Christian Seidel, David Von Dollen, Sheir Yarkoni, and Bob Parney · 2017
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Nada Elsokkary, Faisal Shah Khan, Davide La Torre, Travis S Humble, and Joel Gottlieb · 2017
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James King, Sheir Yarkoni, Mayssam M Nevisi, Jeremy P Hilton, and Catherine C McGeoch · 2015
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Quantum annealing correction with minor embedding
Walter Vinci, Tameem Albash, Gerardo Paz-Silva, Itay Hen, and Daniel A Lidar · 2015
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Heavy tails in the distribution of time to solution for classical and quantum annealing
Damian S Steiger, Troels F Rønnow, and Matthias Troyer · 2015
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Fast clique minor generation in chimera qubit connectivity graphs, 2015
Tomas Boothby, Andrew D. King, and Aidan Roy · 2015
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Decoherence in adiabatic quantum computation
Tameem Albash and Daniel A Lidar · 2015
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Best-case performance of quantum annealers on native spin-glass benchmarks: How chaos can affect success probabilities
Zheng Zhu, Andrew J Ochoa, Stefan Schnabel, Firas Hamze, and Helmut G Katzgraber · 2016
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Daniel O’Malley, Velimir V Vesselinov, Boian S Alexandrov, and Ludmil B Alexandrov · 2018
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Demonstration of a scaling advantage for a quantum annealer over simulated annealing
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Quantum annealing applied to de-conflicting optimal trajectories for air traffic management
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Davide Venturelli and Alexei Kondratyev · 2019
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Robust quantum control for adiabatic quantum computation
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Power of pausing: Advancing understanding of thermalization in experimental quantum annealers
Jeffrey Marshall, Davide Venturelli, Itay Hen, and Eleanor G Rieffel · 2019
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Optimizing the spin reversal transform on the d-wave 2000q
Elijah Pelofske, Georg Hahn, and Hristo Djidjev · 2019
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Dynamics of reverse annealing for the fully connected p -spin model
Yu Yamashiro, Masaki Ohkuwa, Hidetoshi Nishimori, and Daniel A. Lidar · 2019
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Analog errors in quantum annealing: Doom and hope, 2019
Adam Pearson, Anurag Mishra, Itay Hen, and Daniel Lidar · 2019
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Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Akshay Ajagekar, Travis Humble, and Fengqi You · 2020
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Reverse quantum annealing of the p -spin model with relaxation
Gianluca Passarelli, Ka-Wa Yip, Daniel A. Lidar, Hidetoshi Nishimori, and Procolo Lucignano · 2020
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