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A new method to find a lower energy solution to a QUBO/Ising objective function will be presented in this paper.
Quantum Computation by Adiabatic Evolution
E. Farhi, J. Goldstone, S. Gutmann, and M. Sipser · 2000
Earlier work this paper cites.
Optimization using quantum mechanics: quantum annealing through adiabatic evolution
Giuseppe Santoro and Erio Tosatti · 2008
Earlier work this paper cites.
Error Suppression and Error Correction in Adiabatic Quantum Computation: Techniques and Challenges
K. C. Young, M. Sarovar, and R. Blume-Kohout · 2013
Earlier work this paper cites.
Error-corrected quantum annealing with hundreds of qubits
K. L. Pudenz, T. Albash, and D. A. Lidar · 2014
Earlier work this paper cites.
A Boltzmann Machine Implementation for the D-Wave
J. E. Dorband · 2015
Cited alongside, same era.
What is the Computational Value of Finite-Range Tunneling?
V. S. Denchev, S. Boixo, S. V. Isakov, N. Ding, R. Babbush, V. Smelyanskiy, J. Martinis, and H. Neven · 2016
Cited alongside, same era.
Stochastic Characteristics of Qubits and Qubit chains on the D-Wave 2X
J. E. Dorband · 2016
Cited alongside, same era.
The D-Wave 2X Quantum Computer: Technology Overview
D-Wave Systems Inc · 2016
Later among the works it cites.
Improving the Accuracy of an Adiabatic Quantum Computer
J. E. Dorband · 2017
Later among the works it cites.
Scalable effective temperature reduction for quantum annealers via nested quantum annealing correction
W. Vinci and D. A. Lidar · 2017
Later among the works it cites.
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