Variational quantum algorithm with information sharing
File(s)
Published version
OA Location
Author(s)
Type
Journal Article
Abstract
We introduce an optimisation method for variational quantum algorithms and experimentally demonstrate a 100-fold improvement in efficiency compared to naive implementations. The effectiveness of our approach is shown by obtaining multi-dimensional energy surfaces for small molecules and a spin model. Our method solves related variational problems in parallel by exploiting the global nature of Bayesian optimisation and sharing information between different optimisers. Parallelisation makes our method ideally suited to the next generation of variational problems with many physical degrees of freedom. This addresses a key challenge in scaling-up quantum algorithms towards demonstrating quantum advantage for problems of real-world interest.
Date Issued
2021-07-22
Date Acceptance
2021-06-24
Citation
npj Quantum Information, 2021, 7
ISSN
2056-6387
Publisher
Nature Research
Journal / Book Title
npj Quantum Information
Volume
7
Copyright Statement
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Sponsor
Nano Electronics Lab
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Identifier
http://arxiv.org/abs/2103.16161v1
Grant Number
n/a
EP/R043817/2
EP/T001062/1
Subjects
quant-ph
quant-ph
Notes
9 pages, 6 figures, use of IBM Quantum devices
Publication Status
Published
Article Number
ARTN 116