Literature DB >> 27739776

Retrieving the ground state of spin glasses using thermal noise: Performance of quantum annealing at finite temperatures.

Kohji Nishimura1, Hidetoshi Nishimori1, Andrew J Ochoa2, Helmut G Katzgraber2,3.   

Abstract

We study the problem to infer the ground state of a spin-glass Hamiltonian using data from another Hamiltonian with interactions disturbed by noise from the original Hamiltonian, motivated by the ground-state inference in quantum annealing on a noisy device. It is shown that the average Hamming distance between the inferred spin configuration and the true ground state is minimized when the temperature of the noisy system is kept at a finite value, and not at zero temperature. We present a spin-glass generalization of a well-established result that the ground state of a purely ferromagnetic Hamiltonian is best inferred at a finite temperature in the sense of smallest Hamming distance when the original ferromagnetic interactions are disturbed by noise. We use the numerical transfer-matrix method to establish the existence of an optimal finite temperature in one- and two-dimensional systems. Our numerical results are supported by mean-field calculations, which give an explicit expression of the optimal temperature to infer the spin-glass ground state as a function of variances of the distributions of the original interactions and the noise. The mean-field prediction is in qualitative agreement with numerical data. Implications on postprocessing of quantum annealing on a noisy device are discussed.

Entities:  

Year:  2016        PMID: 27739776     DOI: 10.1103/PhysRevE.94.032105

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  2 in total

1.  Quantum computational supremacy.

Authors:  Aram W Harrow; Ashley Montanaro
Journal:  Nature       Date:  2017-09-13       Impact factor: 49.962

2.  Quantum annealing for systems of polynomial equations.

Authors:  Chia Cheng Chang; Arjun Gambhir; Travis S Humble; Shigetoshi Sota
Journal:  Sci Rep       Date:  2019-07-16       Impact factor: 4.379

  2 in total

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