Quantum annealing

Quantum annealing (QA) is a metaheuristic for finding the global minimum of a given objective function over a given set of candidate solutions… (More)
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Topic mentions per year

1991-2017
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Papers overview

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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 all… (More)
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2015
2015
In Deep Learning, a well-known approach for training a Deep Neural Network starts by training a generative Deep Belief Network… (More)
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2014
2014
T. Lanting∗,1 A. J. Przybysz, A. Yu. Smirnov, F. M. Spedalieri, 3 M. H. Amin, 4 A. J. Berkley, R. Harris, F. Altomare, S. Boixo… (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 number… (More)
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2014
2014
Recent advances bring within reach the viability of solving combinatorial problems using a quantum annealing algorithm… (More)
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2014
2014
*Correspondence: John A. Smolin, IBM Research, 1101 Kitchawan Road, Yorktown, NY 10598, USA e-mail: smolin@alum.mit.edu A pair of… (More)
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Review
2007
Review
2007
Quantum annealing is a generic name of quantum algorithms to use quantum-mechanical fluctuations to search for the solution of… (More)
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2002
2002
We introduce quantum fluctuations into the simulated annealing process of optimization problems, aiming at faster convergence to… (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 to… (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 systems… (More)
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