Journal article
Quantum analytic descent
- Abstract:
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Variational algorithms have particular relevance for near-term quantum computers but require nontrivial parameter optimizations. Here we propose analytic descent: Given that the energy landscape must have a certain simple form in the local region around any reference point, it can be efficiently approximated in its entirety by a classical model - we support these observations with rigorous, complexity-theoretic arguments. One can classically analyze this approximate function to directly ju...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Version of record, pdf, 3.3MB)
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- Publisher copy:
- 10.1103/PhysRevResearch.4.023017
Authors
Bibliographic Details
- Publisher:
- American Physical Society Publisher's website
- Journal:
- Physical Review X Journal website
- Volume:
- 4
- Issue:
- 2
- Article number:
- 023017
- Publication date:
- 2022-04-06
- Acceptance date:
- 2022-02-02
- DOI:
- EISSN:
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2643-1564
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1259780
- Local pid:
- pubs:1259780
- Deposit date:
- 2022-10-17
Terms of use
- Copyright holder:
- Koczor and Benjamin
- Copyright date:
- 2022
- Rights 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.
- Licence:
- CC Attribution (CC BY)
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