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dc.contributor.authorPerdomo-Ortiz, Alejandro
dc.contributor.authorDickson, Neil
dc.contributor.authorDrew-Brook, Marshall
dc.contributor.authorRose, Geordie
dc.contributor.authorAspuru-Guzik, Alan
dc.date.accessioned2013-02-12T18:27:21Z
dc.date.issued2012
dc.identifier.citationPerdomo-Ortiz, Alejandro, Neil Dickson, Marshall Drew-Brook, Geordie Rose, and Alán Aspuru-Guzik. 2012. Finding low-energy conformations of lattice protein models by quantum annealing. Scientific Reports 2:571.en_US
dc.identifier.issn2045-2322en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10288630
dc.description.abstractLattice protein folding models are a cornerstone of computational biophysics. Although these models are a coarse grained representation, they provide useful insight into the energy landscape of natural proteins. Finding low-energy threedimensional structures is an intractable problem even in the simplest model, the Hydrophobic-Polar (HP) model. Description of protein-like properties are more accurately described by generalized models, such as the one proposed by Miyazawa and Jernigan (MJ), which explicitly take into account the unique interactions among all 20 amino acids. There is theoretical and experimental evidence of the advantage of solving classical optimization problems using quantum annealing over its classical analogue (simulated annealing). In this report, we present a benchmark implementation of quantum annealing for lattice protein folding problems (six different experiments up to 81 superconducting quantum bits). This first implementation of a biophysical problem paves the way towards studying optimization problems in biophysics and statistical mechanics using quantum devices.en_US
dc.description.sponsorshipChemistry and Chemical Biologyen_US
dc.language.isoen_USen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofdoi:10.1038/srep00571en_US
dc.relation.hasversionhttp://arxiv.org/abs/1204.5485en_US
dash.licenseOAP
dc.subjectcomputational biology and bioinformaticsen_US
dc.subjectquantum physicsen_US
dc.subjectstatistical physicsen_US
dc.subjectthermodynamics and nonlinear dynamicsen_US
dc.subjectbiological physicsen_US
dc.titleFinding Low-Energy Conformations of Lattice Protein Models by Quantum Annealingen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalScientific Reportsen_US
dash.depositing.authorAspuru-Guzik, Alan
dc.date.available2013-02-12T18:27:21Z
dc.identifier.doi10.1038/srep00571*
dash.contributor.affiliatedAspuru-Guzik, Alan


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