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Variational ansatz-based quantum simulation of imaginary time evolution

Abstract:
Imaginary time evolution is a powerful tool for studying quantum systems. While it is possible to simulate with a classical computer, the time and memory requirements generally scale exponentially with the system size. Conversely, quantum computers can efficiently simulate quantum systems, but not non-unitary imaginary time evolution. We propose a variational algorithm for simulating imaginary time evolution on a hybrid quantum computer. We use this algorithm to find the ground-state energy of many-particle systems; specifically molecular hydrogen and lithium hydride, finding the ground state with high probability. Our method can also be applied to general optimisation problems and quantum machine learning. As our algorithm is hybrid, suitable for error mitigation and can exploit shallow quantum circuits, it can be implemented with current quantum computers.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41534-019-0187-2

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Materials
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Materials
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Materials
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Oxford college:
Exeter College
Role:
Author
ORCID:
0000-0002-7766-5348


Publisher:
Springer Nature
Journal:
npj Quantum Information More from this journal
Volume:
5
Article number:
75
Publication date:
2019-09-06
Acceptance date:
2019-08-04
DOI:
EISSN:
2056-6387


Keywords:
Pubs id:
pubs:1040286
UUID:
uuid:2372988f-7690-44a7-a34d-4b9aa0fa589d
Local pid:
pubs:1040286
Source identifiers:
1040286
Deposit date:
2019-08-09

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