Journal article
Efficient variational quantum simulator incorporating active error minimization
- Abstract:
- One of the key applications for quantum computers will be the simulation of other quantum systems that arise in chemistry, materials science, etc., in order to accelerate the process of discovery. It is important to ask the following question: Can this simulation be achieved using near-future quantum processors, of modest size and under imperfect control, or must it await the more distant era of large-scale fault-tolerant quantum computing? Here, we propose a variational method involving closely integrated classical and quantum coprocessors. We presume that all operations in the quantum coprocessor are prone to error. The impact of such errors is minimized by boosting them artificially and then extrapolating to the zero-error case. In comparison to a more conventional optimized Trotterization technique, we find that our protocol is efficient and appears to be fundamentally more robust against error accumulation.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 506.8KB, Terms of use)
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- Publisher copy:
- 10.1103/PhysRevX.7.021050
Authors
+ Engineering and Physical Sciences Research Council
More from this funder
- Grant:
- National Quantum Technology Hub in Networked Quantum Information Technologies
- Publisher:
- American Physical Society
- Journal:
- Physical Review X More from this journal
- Volume:
- 7
- Issue:
- 2
- Article number:
- 021050
- Publication date:
- 2017-07-29
- Acceptance date:
- 2017-05-26
- DOI:
- ISSN:
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2160-3308
- Pubs id:
-
pubs:706555
- UUID:
-
uuid:569dec91-afef-471b-a87c-fc4d522635a7
- Local pid:
-
pubs:706555
- Source identifiers:
-
706555
- Deposit date:
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2017-07-08
- ARK identifier:
Terms of use
- Copyright holder:
- Li and Benjamin
- Copyright date:
- 2017
- Notes:
- 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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