Professor Steve Abel s.a.abel@durham.ac.uk
Professor
Quantum computing for quantum tunneling
Abel, Steven; Chancellor, Nicholas; Spannowsky, Michael
Authors
Dr Nicholas Chancellor nicholas.chancellor@durham.ac.uk
Teaching Fellow QO
Professor Michael Spannowsky michael.spannowsky@durham.ac.uk
Director
Abstract
We demonstrate how quantum field theory problems can be practically encoded by using a discretization of the field theory problem into a general Ising model, with the continuous field values being encoded into Ising spin chains. To illustrate the method, and as a simple proof of principle, we use a (hybrid) quantum annealer to recover the correct profile of the thin-wall tunnelling solution. This method is applicable to many nonperturbative problems.
Citation
Abel, S., Chancellor, N., & Spannowsky, M. (2021). Quantum computing for quantum tunneling. Physical Review D, 103(1), Article 016008. https://doi.org/10.1103/physrevd.103.016008
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 18, 2020 |
Online Publication Date | Jan 11, 2021 |
Publication Date | Jan 1, 2021 |
Deposit Date | Feb 25, 2021 |
Publicly Available Date | Jun 23, 2021 |
Journal | Physical Review D |
Print ISSN | 2470-0010 |
Electronic ISSN | 2470-0029 |
Publisher | American Physical Society |
Peer Reviewed | Peer Reviewed |
Volume | 103 |
Issue | 1 |
Article Number | 016008 |
DOI | https://doi.org/10.1103/physrevd.103.016008 |
Public URL | https://durham-repository.worktribe.com/output/1252097 |
Files
Published Journal Article
(354 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.
You might also like
Quantum optimization of complex systems with a quantum annealer
(2022)
Journal Article
Cosmic Inflation and Genetic Algorithms
(2022)
Journal Article
Ising Machines for Diophantine Problems in Physics
(2022)
Journal Article
Completely quantum neural networks
(2022)
Journal Article
Evolving Heterotic Gauge Backgrounds: Genetic Algorithms versus Reinforcement Learning
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search