Preprint Open Access
Ahn, D; Karimi, Ebrahim
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://zenodo.org/record/3836181</identifier> <creators> <creator> <creatorName>Ahn, D</creatorName> <givenName>D</givenName> <familyName>Ahn</familyName> <affiliation>Seoul National University</affiliation> </creator> <creator> <creatorName>Karimi, Ebrahim</creatorName> <givenName>Ebrahim</givenName> <familyName>Karimi</familyName> <affiliation>UO</affiliation> </creator> </creators> <titles> <title>Adaptive Compressive Tomography with No a priori Information</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <dates> <date dateType="Issued">2020-05-20</date> </dates> <resourceType resourceTypeGeneral="Text">Preprint</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3836181</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1103/PhysRevLett.122.100404</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/qsort</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Quantum state tomography is both a crucial component in the field of quantum information and computation, and a formidable task that requires an incogitably large number of measurement configurations as the system dimension grows. We propose and experimentally carry out an intuitive adaptive compressive tomography scheme, inspired by the traditional compressed-sensing protocol in signal recovery, that tremendously reduces the number of configurations needed to uniquely reconstruct any given quantum state without any additional a priori assumption whatsoever (such as rank information, purity, etc) about the state, apart from its dimension.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/766970/">766970</awardNumber> <awardTitle>QUANTUM SORTER</awardTitle> </fundingReference> </fundingReferences> </resource>
Views | 28 |
Downloads | 20 |
Data volume | 8.6 MB |
Unique views | 26 |
Unique downloads | 17 |