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dc.contributor.authorGrimsley, Harper R.en
dc.contributor.authorEconomou, Sophia E.en
dc.contributor.authorBarnes, Edwinen
dc.contributor.authorMayhall, Nicholas J.en
dc.date.accessioned2019-07-30T16:43:00Z
dc.date.available2019-07-30T16:43:00Z
dc.date.issued2019-07-08en
dc.identifier.issn2041-1723en
dc.identifier.other3007en
dc.identifier.urihttp://hdl.handle.net/10919/92044
dc.description.abstractQuantum simulation of chemical systems is one of the most promising near-term applications of quantum computers. The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction ansatz that results in approximate wavefunctions and energies. Here we present an arbitrarily accurate variational algorithm that, instead of fixing an ansatz upfront, grows it systematically one operator at a time in a way dictated by the molecule being simulated. This generates an ansatz with a small number of parameters, leading to shallow-depth circuits. We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both circuit depth and chemical accuracy. Our results highlight the potential of our adaptive algorithm for exact simulations with present-day and near-term quantum hardware.en
dc.description.sponsorshipUS Department of Energy [DE-SC0019199]en
dc.description.sponsorshipNational Science Foundation [1839136]en
dc.description.sponsorshipDepartment of Energy [DE-SC0019318]en
dc.language.isoenen
dc.publisherSpringer Natureen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleAn adaptive variational algorithm for exact molecular simulations on a quantum computeren
dc.typeArticle - Refereeden
dc.contributor.departmentChemistryen_US
dc.contributor.departmentPhysicsen_US
dc.description.notesThis research was supported by the US Department of Energy (Award No. DE-SC0019199) and the National Science Foundation (Award No. 1839136). S.E.E. also acknowledges support from the Department of Energy (Award No. DE-SC0019318).en
dc.title.serialNature Communicationsen
dc.identifier.doihttps://doi.org/10.1038/s41467-019-10988-2en
dc.identifier.volume10en
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen
dc.identifier.pmid31285433en


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