Literature DB >> 22861831

Quantum adiabatic algorithm and scaling of gaps at first-order quantum phase transitions.

C R Laumann1, R Moessner, A Scardicchio, S L Sondhi.   

Abstract

Motivated by the quantum adiabatic algorithm (QAA), we consider the scaling of the Hamiltonian gap at quantum first-order transitions, generally expected to be exponentially small in the size of the system. However, we show that a quantum antiferromagnetic Ising chain in a staggered field can exhibit a first-order transition with only an algebraically small gap. In addition, we construct a simple classical translationally invariant one-dimensional Hamiltonian containing nearest-neighbor interactions only, which exhibits an exponential gap at a thermodynamic quantum first-order transition of essentially topological origin. This establishes that (i) the QAA can be successful even across first-order transitions but also that (ii) it can fail on exceedingly simple problems readily solved by inspection, or by classical annealing.

Year:  2012        PMID: 22861831     DOI: 10.1103/PhysRevLett.109.030502

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


  4 in total

1.  Quantum simulation of 2D antiferromagnets with hundreds of Rydberg atoms.

Authors:  Pascal Scholl; Michael Schuler; Hannah J Williams; Alexander A Eberharter; Daniel Barredo; Kai-Niklas Schymik; Vincent Lienhard; Louis-Paul Henry; Thomas C Lang; Thierry Lahaye; Andreas M Läuchli; Antoine Browaeys
Journal:  Nature       Date:  2021-07-07       Impact factor: 49.962

2.  Many-body localization enables iterative quantum optimization.

Authors:  Hanteng Wang; Hsiu-Chung Yeh; Alex Kamenev
Journal:  Nat Commun       Date:  2022-09-20       Impact factor: 17.694

3.  Zero-temperature quantum annealing bottlenecks in the spin-glass phase.

Authors:  Sergey Knysh
Journal:  Nat Commun       Date:  2016-08-05       Impact factor: 14.919

4.  Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability.

Authors:  Anurag Mishra; Tameem Albash; Daniel A Lidar
Journal:  Nat Commun       Date:  2018-07-25       Impact factor: 14.919

  4 in total

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