Variational quantum algorithms for nonlinear problems
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21083669
- Type
- D - Journal article
- DOI
-
10.1103/PhysRevA.101.010301
- Title of journal
- Physical Review A
- Article number
- 010301(R)
- First page
- -
- Volume
- 101
- Issue
- 1
- ISSN
- 2469-9926
- Open access status
- Technical exception
- Month of publication
- January
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
B - Computational Intelligence
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- An exponentially more efficient method for solving nonlinear partial differential equations, compared with traditional approaches like matrix product states. The method utilises variational quantum computing and is practically relevant as demonstrated by experimental proof-of-concept results on IBM Q. As acknowledged by other researchers in the field [Henriet et al, Physical Review A 101(1)], this is a significant result making concrete the prospect of solving nonlinear problems on grid sizes beyond the scope of conventional computers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -