dc.contributor.author | Chiang, Chen-Fu | |
dc.contributor.author | Hsieh, Chang Yu | |
dc.date.accessioned | 2017-03-30T22:51:00Z | |
dc.date.available | 2018-01-07T06:00:05Z | |
dc.date.issued | 2017-03 | |
dc.date.submitted | 2016-08 | |
dc.identifier.issn | 1570-0755 | |
dc.identifier.issn | 1573-1332 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/107791 | |
dc.description.abstract | In this article we assess a novel quantum computation paradigm based on the resonant transition (RT) phenomenon commonly associated with atomic and molecular systems. We thoroughly analyze the intimate connections between the RT-based quantum computation and the well-established adiabatic quantum computation (AQC). Both quantum computing frameworks encode solutions to computational problems in the spectral properties of a Hamiltonian and rely on the quantum dynamics to obtain the desired output state. We discuss how one can adapt any adiabatic quantum algorithm to a corresponding RT version and the two approaches are limited by different aspects of Hamiltonians’ spectra. The RT approach provides a compelling alternative to the AQC under various circumstances. To better illustrate the usefulness of the novel framework, we analyze the time complexity of an algorithm for 3-SAT problems and discuss straightforward methods to fine tune its efficiency. | en_US |
dc.description.sponsorship | State University of New York. Polytechnic Institute | en_US |
dc.publisher | Springer US | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/s11128-017-1552-8 | en_US |
dc.rights | Article 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. | en_US |
dc.source | Springer US | en_US |
dc.title | Resonant transition-based quantum computation | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Chiang, Chen-Fu, and Chang-Yu Hsieh. “Resonant Transition-Based Quantum Computation.” Quantum Information Processing 16.5 (2017): n. pag. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Chemistry | en_US |
dc.contributor.mitauthor | Hsieh, Chang Yu | |
dc.relation.journal | Quantum Information Processing | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2017-03-24T04:50:13Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Springer Science+Business Media New York | |
dspace.orderedauthors | Chiang, Chen-Fu; Hsieh, Chang-Yu | en_US |
dspace.embargo.terms | N | en |
dc.identifier.orcid | https://orcid.org/0000-0002-3931-001X | |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete | |