Capturing Exponential Variance Using Polynomial Resources: Applying Tensor Networks to Nonequilibrium Stochastic Processes
- Submitting institution
-
University of Oxford
- Unit of assessment
- 9 - Physics
- Output identifier
- 10593
- Type
- D - Journal article
- DOI
-
10.1103/PhysRevLett.114.090602
- Title of journal
- Physical Review Letters
- Article number
- 090602
- First page
- 090602
- Volume
- 114
- Issue
- 9
- ISSN
- 0031-9007
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2015
- 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
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
