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dc.contributor.authorMiranda, E
dc.contributor.authorVenkatesh, S
dc.contributor.authorMartin-Guerrero, JD
dc.contributor.authorHernani-Morales, C
dc.contributor.authorLamata, L
dc.contributor.authorSolano, E
dc.date.accessioned2022-02-08T12:43:17Z
dc.date.issued2022-01-05
dc.identifier.issn1548-7202
dc.identifier.issn1548-7202
dc.identifier.urihttp://hdl.handle.net/10026.1/18683
dc.description.abstract

We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed a method to encode neural correlates of mental activity as instructions for a quantum computer. Brain signals are detected utilizing electrodes placed on the scalp of a person, who learns how to produce the required mental activity to issue instructions to rotate and measure a qubit. Currently, our proof-of-concept runs on a software simulation of a quantum computer. At the time of writing, available quantum computing hardware and brain activity sensing technology are not sufficiently developed for real-time control of quantum states with the brain. But we are one step closer to interfacing the brain with real quantum machines, as improvements in hardware technology at both fronts become available in time to come. The paper ends with a discussion on some of the challenging problems that need to be addressed before we can interface the brain with quantum hardware.

dc.format.extent159-171
dc.languageEnglish
dc.language.isoEnglish
dc.publisherOld City Publishing
dc.subjectBrain-Computer Interface
dc.subjectComputer Science
dc.subjectNeuroscience
dc.subjectQuantum computing
dc.titleAn approach to interfacing the brain with quantum computers: practical steps and caveats
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000808377700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue3
plymouth.volume17
plymouth.publisher-urlhttps://www.oldcitypublishing.com/wp-content/uploads/2022/02/IJUCv17n3p159-171Miranda.pdf
plymouth.publication-statusPublished
plymouth.journalInternational Journal of Unconventional Computing
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/School of Society and Culture
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA33 Music, Drama, Dance, Performing Arts, Film and Screen Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2021-12-29
dc.rights.embargodate2022-2-19
dc.identifier.eissn1548-7202
dc.rights.embargoperiodNot known
rioxxterms.funderEngineering and Physical Sciences Research Council
rioxxterms.identifier.projectQCS Hub
rioxxterms.versionAccepted Manuscript
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2022-01-05
rioxxterms.typeJournal Article/Review
plymouth.funderQCS Hub::Engineering and Physical Sciences Research Council


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