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We investigate alternative annealing schedules on the current generation of quantum annealing hardware (the D-Wave 2000Q), which includes the use of forward and reverse annealing with an intermediate pause.
A. J. Leggett, S. Chakravarty, A. T. Dorsey, Matthew P. A. Fisher, Anupam Garg, and W. Zwerger, “Dynamics of the dissipative two-state system,” Rev. Mod. Phys. 59
1987
Earlier work this paper cites.
R. Hanson, V. V. Dobrovitski, A. E. Feiguin, O. Gywat, and D. D. Awschalom, “Coherent Dynamics of a Single Spin Interacting with an Adjustable Spin Bath,” Science 320
2008
Earlier work this paper cites.
S. Aaronson and A. Arkhipov, “The Computational Complexity of Linear Optics,” in Proc. Forty-third Annual ACM Symposium on Theory of Computing (2011) pp. 333–342
2011
Earlier work this paper cites.
M. J. Bremner, R. Jozsa, and D. J. Shepherd, “Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy,” Proc. R. Soc. London Ser. A 467
2011
Earlier work this paper cites.
T. Albash, S. Boixo, D. A. Lidar, and P. Zanardi, “Quantum adiabatic Markovian master equations,” New J. of Phys. 14
2012
Earlier work this paper cites.
N. G. Dickson, M. W. Johnson, M. H. Amin, R. Harris, F. Altomare, A. J. Berkley, P. Bunyk, J. Cai, E. M. Chapple, P. Chavez, F. Cioata, T. Cirip, P. deBuen, M. Drew-Brook, C. Enderud, S. Gildert, F. Hamze, J. P. Hilton, E. Hoskinson, K. Karimi, E. Ladizinsky, N. Ladizinsky, T. Lanting, T. Mahon, R. Neufeld, T. Oh, I. Perminov, C. Petroff, A. Przybysz, C. Rich, P. Spear, A. Tcaciuc, M. C. Thom, E. Tolkacheva, S. Uchaikin, J. Wang, A. B. Wilson, Z. Merali, and G. Rose, “Thermally assisted quantum annealing of a 16-qubit problem,” Nat. Commun. 4
2013
Earlier work this paper cites.
T. F. Rønnow, Z. Wang, J. Job, S. Boixo, S. V. Isakov, D. Wecker, J. M. Martinis, D. A. Lidar, and M. Troyer, “Defining and detecting quantum speedup,” Science 345
2014
Earlier work this paper cites.
M. H. Amin, “Searching for quantum speedup in quasistatic quantum annealers,” Phys. Rev. A 92
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
I. Hen, J. Job, T. Albash, T. F. Rønnow, M. Troyer, and D. A. Lidar, “Probing for quantum speedup in spin-glass problems with planted solutions,” Phys. Rev. A 92
2015
Earlier work this paper cites.
T. Albash, I. Hen, F. M. Spedalieri, and D. A. Lidar, “Reexamination of the evidence for entanglement in a quantum annealer,” Phys. Rev. A 92
2015
Earlier work this paper cites.
V. S. Denchev, S. Boixo, S. V. Isakov, N. Ding, R. Babbush, V. Smelyanskiy, J. Martinis, and H. Neven, “What is the Computational Value of Finite-Range Tunneling?” Phys. Rev. X 6
2016
Earlier work this paper cites.
S. Mandrà, Z. Zhu, W. Wang, A. Perdomo-Ortiz, and H. G. Katzgraber, “Strengths and weaknesses of weak-strong cluster problems: A detailed overview of state-of-the-art classical heuristics versus quantum approaches,” Phys. Rev. A 94
2016
Cited alongside, same era.
M. Benedetti, J. Realpe-Gómez, R. Biswas, and A. Perdomo-Ortiz, “Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning,” Phys. Rev. A 94
2016
Cited alongside, same era.
S. Boixo, V. N. Smelyanskiy, A. Shabani, S.V. Isakov, M. Dykman, V. S. Denchev, M. H. Amin, A. Y. Smirnov, M. Mohseni, and H. Neven, “Computational multiqubit tunnelling in programmable quantum annealers,” Nat. Commun. 7
2016
Cited alongside, same era.
2016
Cited alongside, same era.
M. H. Amin, E. Andriyash, J. Rolfe, B. Kulchytskyy, and R. Melko, “Quantum Boltzmann Machine,” Phys. Rev. X 8
2018
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2018
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J. Job and D. Lidar, “Test-driving 1000 qubits,” Quant. Sci. and Tech. 3
2018
Closest in time.
A. D. King, J. Carrasquilla, J. Raymond, I. Ozfidan, E. Andriyash, A. Berkley, M. Reis, T. Lanting, R. Harris, F. Altomare, K. Boothby, P. I. Bunyk, C. Enderud, A. Fréchette, E. Hoskinson, N. Ladizinsky, T. Oh, G. Poulin-Lamarre, C. Rich, Y. Sato, A. Y. Smirnov, L. J. Swenson, M. H. Volkmann, J. Whittaker, J. Yao, E. Ladizinsky, M. W. Johnson, J. Hilton, and M. H. Amin, “Observation of topological phenomena in a programmable lattice of 1,800 qubits,” Nature 560
2018
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B. H. Zhang, G. Wagenbreth, V. Martin-Mayor, and I. Hen, “Advantages of Unfair Quantum Ground-State Sampling,” Sci. Rep. 7
2017
Cited alongside, same era.
J. Marshall, E. G. Rieffel, and I. Hen, “Thermalization, freeze-out, and noise: Deciphering experimental quantum annealers,” Phys. Rev. Applied 8
2017
Cited alongside, same era.
T. Lanting, A. D. King, B. Evert, and E. Hoskinson, “Experimental demonstration of perturbative anticrossing mitigation using nonuniform driver Hamiltonians,” Phys. Rev. A 96
2017
Cited alongside, same era.
V. N. Smelyanskiy, D. Venturelli, A. Perdomo-Ortiz, S. Knysh, and M. I. Dykman, “Quantum annealing via environment-mediated quantum diffusion,” Phys. Rev. Lett. 118
2017
Cited alongside, same era.
S. Mandrà, Z. Zhu, and H. G. Katzgraber, “Exponentially Biased Ground-State Sampling of Quantum Annealing Machines with Transverse-Field Driving Hamiltonians,” Phys. Rev. Lett. 118
2017
Cited alongside, same era.
M. Benedetti, J. Realpe-Gómez, R. Biswas, and A. Perdomo-Ortiz, “Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models,” Phys. Rev. X 7
2017
Cited alongside, same era.
2017
Cited alongside, same era.
T. Albash and D. A. Lidar, “Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing,” Phys. Rev. X 8
2018
Cited alongside, same era.
M. Ohkuwa, H. Nishimori, and D. A. Lidar, “Reverse annealing for the fully connected p p -spin model,” Phys. Rev. A 98
2018
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2018
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2018
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D-Wave Technical Whitepaper, Reverse Quantum Annealing for Local Refinement of Solutions (2018), https://www.dwavesys.com/sites/default/files/14-1018A-A_Reverse_Quantum_Annealing_for_Local_Refinement_of_Solutions.pdf
2018
Closest in time.
2018
Closest in time.
T. Albash, V. Martin-Mayor, and I. Hen, “Analog errors in Ising machines,” Quantum Sci. Technol. 4
2019
Closest in time.
F. Wang and D. P. Landau, “Efficient, Multiple-Range Random Walk Algorithm to Calculate the Density of States,” Phys. Rev. Lett. 86
2050
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