Quantum annealing (QA) is a metaheuristic for finding the global minimum of a given objective function over a given set of candidate solutionsâ€¦Â (More)

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2016

2016

Recently, Lechner, Hauke and Zoller [1] have proposed a quantum annealing architecture, in which a classical spin glass with allâ€¦Â (More)

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2015

2015

- Steven H. Adachi, Maxwell P. Henderson
- ArXiv
- 2015

In Deep Learning, a well-known approach for training a Deep Neural Network starts by training a generative Deep Belief Networkâ€¦Â (More)

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2014

2014

- Trevor M. Lanting, A. J. Przybysz, +23 authors G. Rose
- 2014

T. Lantingâˆ—,1 A. J. Przybysz, A. Yu. Smirnov, F. M. Spedalieri, 3 M. H. Amin, 4 A. J. Berkley, R. Harris, F. Altomare, S. Boixoâ€¦Â (More)

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Highly Cited

2014

Highly Cited

2014

Quantum technology is maturing to the point where quantum devices, such as quantum communication systems, quantum random numberâ€¦Â (More)

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2014

2014

- Andrew D. King, Catherine C. McGeoch
- ArXiv
- 2014

Recent advances bring within reach the viability of solving combinatorial problems using a quantum annealing algorithmâ€¦Â (More)

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2014

2014

- John A. Smolin, Graeme Smith
- Front. Phys.
- 2014

*Correspondence: John A. Smolin, IBM Research, 1101 Kitchawan Road, Yorktown, NY 10598, USA e-mail: smolin@alum.mit.edu A pair ofâ€¦Â (More)

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Review

2007

Review

2007

- Satoshi Morita
- 2007

Quantum annealing is a generic name of quantum algorithms to use quantum-mechanical fluctuations to search for the solution ofâ€¦Â (More)

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2002

2002

- Tadashi Kadowaki
- 2002

We introduce quantum fluctuations into the simulated annealing process of optimization problems, aiming at faster convergence toâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

We introduce quantum fluctuations into the simulated annealing process of optimization problems, aiming at faster convergence toâ€¦Â (More)

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Review

1991

Review

1991

We review here the recent success in quantum annealing, i.e., optimization of the cost or energy functions of complex systemsâ€¦Â (More)

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