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dc.contributor.authorPeng, Tianyi
dc.contributor.authorHarrow, Aram W
dc.contributor.authorOzols, Maris
dc.contributor.authorWu, Xiaodi
dc.date.accessioned2021-10-27T19:52:18Z
dc.date.available2021-10-27T19:52:18Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/133353
dc.description.abstract© 2020 American Physical Society. Limited quantum memory is one of the most important constraints for near-term quantum devices. Understanding whether a small quantum computer can simulate a larger quantum system, or execute an algorithm requiring more qubits than available, is both of theoretical and practical importance. In this Letter, we introduce cluster parameters K and d of a quantum circuit. The tensor network of such a circuit can be decomposed into clusters of size at most d with at most K qubits of inter-cluster quantum communication. We propose a cluster simulation scheme that can simulate any (K,d)-clustered quantum circuit on a d-qubit machine in time roughly 2O(K), with further speedups possible when taking more fine-grained circuit structure into account. We show how our scheme can be used to simulate clustered quantum systems-such as large molecules-that can be partitioned into multiple significantly smaller clusters with weak interactions among them. By using a suitable clustered ansatz, we also experimentally demonstrate that a quantum variational eigensolver can still achieve the desired performance for estimating the energy of the BeH2 molecule while running on a physical quantum device with half the number of required qubits.
dc.language.isoen
dc.publisherAmerican Physical Society (APS)
dc.relation.isversionof10.1103/PHYSREVLETT.125.150504
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.sourceAPS
dc.titleSimulating Large Quantum Circuits on a Small Quantum Computer
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.contributor.departmentMassachusetts Institute of Technology. Center for Theoretical Physics
dc.relation.journalPhysical Review Letters
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-07-09T15:46:07Z
dspace.orderedauthorsPeng, T; Harrow, AW; Ozols, M; Wu, X
dspace.date.submission2021-07-09T15:46:08Z
mit.journal.volume125
mit.journal.issue15
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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