Literature DB >> 20867896

Quantum annealing with the Jarzynski equality.

Masayuki Ohzeki1.   

Abstract

We show a practical application of the Jarzynski equality in quantum computation. Its implementation may open a way to solve combinatorial optimization problems, minimization of a real single-valued function, cost function, with many arguments. We consider to incorporate the Jarzynski equality into quantum annealing, which is one of the generic algorithms to solve the combinatorial optimization problem. The ordinary quantum annealing suffers from nonadiabatic transitions whose rate is characterized by the minimum energy gap Δmin of the quantum system under consideration. The quantum sweep speed is therefore restricted to be extremely slow for the achievement to obtain a solution without relevant errors. However, in our strategy shown in the present study, we find that such a difficulty would not matter.

Year:  2010        PMID: 20867896     DOI: 10.1103/PhysRevLett.105.050401

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  Quantum Monte Carlo simulation of a particular class of non-stoquastic Hamiltonians in quantum annealing.

Authors:  Masayuki Ohzeki
Journal:  Sci Rep       Date:  2017-01-23       Impact factor: 4.379

2.  Assessment of image generation by quantum annealer.

Authors:  Takehito Sato; Masayuki Ohzeki; Kazuyuki Tanaka
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

3.  Optimization of neural networks via finite-value quantum fluctuations.

Authors:  Masayuki Ohzeki; Shuntaro Okada; Masayoshi Terabe; Shinichiro Taguchi
Journal:  Sci Rep       Date:  2018-07-02       Impact factor: 4.379

4.  Breaking limitation of quantum annealer in solving optimization problems under constraints.

Authors:  Masayuki Ohzeki
Journal:  Sci Rep       Date:  2020-02-20       Impact factor: 4.379

  4 in total

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