Quantum Memristors in Frequency-Entangled Optical Fields
dc.contributor.author | González Raya, Tasio | |
dc.contributor.author | Lukens, Joseph M. | |
dc.contributor.author | Céleri, Lucas C. | |
dc.contributor.author | Sanz Ruiz, Mikel | |
dc.date.accessioned | 2020-03-03T18:58:44Z | |
dc.date.available | 2020-03-03T18:58:44Z | |
dc.date.issued | 2020-02-14 | |
dc.identifier.citation | Materials 13(4) : (2020) // Article ID 864 | es_ES |
dc.identifier.issn | 1996-1944 | |
dc.identifier.uri | http://hdl.handle.net/10810/41927 | |
dc.description.abstract | A quantum memristor is a passive resistive circuit element with memory, engineered in a given quantum platform. It can be represented by a quantum system coupled to a dissipative environment, in which a system–bath coupling is mediated through a weak measurement scheme and classical feedback on the system. In quantum photonics, such a device can be designed from a beam splitter with tunable reflectivity, which is modified depending on the results of measurements in one of the outgoing beams. Here, we show that a similar implementation can be achieved with frequency-entangled optical fields and a frequency mixer that, working similarly to a beam splitter, produces state superpositions. We show that the characteristic hysteretic behavior of memristors can be reproduced when analyzing the response of the system with respect to the control, for different experimentally attainable states. Since memory effects in memristors can be exploited for classical and neuromorphic computation, the results presented in this work could be a building block for constructing quantum neural networks in quantum photonics, when scaling up. | es_ES |
dc.description.sponsorship | The authors acknowledge support from Spanish Government PGC2018-095113-B-I00 (MCIU/AEI/FEDER, UE) and Basque Government IT986-16. The authors also acknowledge support from the projects QMiCS (820505) and OpenSuperQ (820363) of the EU Flagship on Quantum Technologies, as well as the EU FET Open Grant Quromorphic. This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research (ASCR) quantum algorithm teams program, under field work proposal number ERKJ333. LCC would like to acknowledge the financial support from the Brazilian ministries MEC and MCTIC, funding agency CNPq, and the Brazilian National Institute of Science and Technology of Quantum Information (INCT-IQ). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001. A portion of this work was performed at Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy under contract No. DE-AC05-00OR22725. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/820505 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/820363 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/PGC2018-095113-B-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | quantum memristors | es_ES |
dc.subject | memristive systems | es_ES |
dc.subject | quantum photonics | es_ES |
dc.subject | quantum neural networks | es_ES |
dc.title | Quantum Memristors in Frequency-Entangled Optical Fields | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2020-03-02T12:41:45Z | |
dc.rights.holder | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/1996-1944/13/4/864 | es_ES |
dc.identifier.doi | 10.3390/ma13040864 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Química física | es_ES |
dc.departamentoeu | Kimika fisikoa | es_ES |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).