Please use this identifier to cite or link to this item: https://doi.org/10.1098/rsfs.2011.0109
DC FieldValue
dc.titleTowards quantum simulations of biological information flow
dc.contributor.authorDorner, R.
dc.contributor.authorGoold, J.
dc.contributor.authorVedral, V.
dc.date.accessioned2014-10-16T09:46:59Z
dc.date.available2014-10-16T09:46:59Z
dc.date.issued2012-08-06
dc.identifier.citationDorner, R., Goold, J., Vedral, V. (2012-08-06). Towards quantum simulations of biological information flow. Interface Focus 2 (4) : 522-528. ScholarBank@NUS Repository. https://doi.org/10.1098/rsfs.2011.0109
dc.identifier.issn20428898
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/98428
dc.description.abstractRecent advances in the spectroscopy of biomolecules have highlighted the possibility of quantum coherence playing an active role in biological energy transport. The revelation that quantum coherence can survive in the hot and wet environment of biology has generated a lively debate across both the physics and biology communities. In particular, it remains unclear to what extent non-trivial quantum effects are used in biology and what advantage, if any, they afford. We propose an analogue quantum simulator, based on currently available techniques in ultra-cold atom physics, to study a model of energy and electron transport based on the Holstein Hamiltonian. By simulating the salient aspects of a biological system in a tunable laboratory set-up, we hope to gain insight into the validity of several theoretical models of biological quantum transport in a variety of relevant parameter regimes. © 2012 The Royal Society.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1098/rsfs.2011.0109
dc.sourceScopus
dc.subjectBiological transport
dc.subjectQuantum biology
dc.subjectQuantum simulation
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.description.doi10.1098/rsfs.2011.0109
dc.description.sourcetitleInterface Focus
dc.description.volume2
dc.description.issue4
dc.description.page522-528
dc.identifier.isiut000305475800013
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