Please use this identifier to cite or link to this item: https://doi.org/10.1038/ncomms1761
DC FieldValue
dc.titleQuantum mechanics can reduce the complexity of classical models
dc.contributor.authorGu, M.
dc.contributor.authorWiesner, K.
dc.contributor.authorRieper, E.
dc.contributor.authorVedral, V.
dc.date.accessioned2014-10-16T09:38:14Z
dc.date.available2014-10-16T09:38:14Z
dc.date.issued2012
dc.identifier.citationGu, M., Wiesner, K., Rieper, E., Vedral, V. (2012). Quantum mechanics can reduce the complexity of classical models. Nature Communications 3 : -. ScholarBank@NUS Repository. https://doi.org/10.1038/ncomms1761
dc.identifier.issn20411723
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/97692
dc.description.abstractMathematical models are an essential component of quantitative science. They generate predictions about the future, based on information available in the present. In the spirit of simpler is better; should two models make identical predictions, the one that requires less input is preferred. Yet, for almost all stochastic processes, even the provably optimal classical models waste information. The amount of input information they demand exceeds the amount of predictive information they output. Here we show how to systematically construct quantum models that break this classical bound, and that the system of minimal entropy that simulates such processes must necessarily feature quantum dynamics. This indicates that many observed phenomena could be significantly simpler than classically possible should quantum effects be involved. © 2012 Macmillan Publishers Limited. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1038/ncomms1761
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.description.doi10.1038/ncomms1761
dc.description.sourcetitleNature Communications
dc.description.volume3
dc.description.page-
dc.identifier.isiut000302630100051
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.