English

Simulating adiabatic quantum computation with a variational approach

Quantum Physics 2024-03-11 v1 Disordered Systems and Neural Networks Computational Physics

Abstract

The theoretical analysis of the Adiabatic Quantum Computation protocol presents several challenges resulting from the difficulty of simulating, with classical resources, the unitary dynamics of a large quantum device. We present here a variational approach to substantially alleviate this problem in many situations of interest. Our approach is based on the time-dependent Variational Monte Carlo method, in conjunction with a correlated and time-dependent Jastrow ansatz. We demonstrate that accurate results can be obtained in a variety of problems, ranging from the description of defect generation through a dynamical phase transition in 1D to the complex dynamics of frustrated spin-glass problems both on fully-connected and Chimera graphs.

Keywords

Cite

@article{arxiv.2403.05147,
  title  = {Simulating adiabatic quantum computation with a variational approach},
  author = {Giuseppe Carleo and Bela Bauer and Matthias Troyer},
  journal= {arXiv preprint arXiv:2403.05147},
  year   = {2024}
}

Comments

This work was completed in 2016 and presented at the APS March Meeting in Baltimore in its final form (Session C45, Abstract: C45.00009 : Accurate Variational Description of Adiabatic Quantum Optimization). A preprint with minimal changes was published in 2024. Related but more recent references might be missing, feedback is appreciated

R2 v1 2026-06-28T15:13:19.055Z