Journal article
Training variational quantum circuits with CoVaR: covariance root finding with classical shadows
- Abstract:
-
Exploiting near-term quantum computers and achieving practical value is a considerable and exciting challenge. Most prominent candidates as variational algorithms typically aim to find the ground state of a Hamiltonian by minimising a single classical (energy) surface which is sampled from by a quantum computer. Here we introduce a method we call CoVaR, an alternative means to exploit the power of variational circuits: We find eigenstates by finding joint roots of a polynomially growing numbe...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- American Physical Society Publisher's website
- Journal:
- Physical Review X Journal website
- Volume:
- 12
- Article number:
- 041022
- Publication date:
- 2022-11-28
- Acceptance date:
- 2022-10-07
- DOI:
- EISSN:
-
2160-3308
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1285433
- Local pid:
- pubs:1285433
- Deposit date:
- 2022-10-20
Terms of use
- Copyright holder:
- Boyd and Koczor
- Copyright date:
- 2022
- Rights statement:
- ©2022 The Author(s). 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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