Adaptive Compressive Tomography with No a priori Information
Quantum state tomography is both a crucial component in the field of quantum information and computation and a formidable task that requires an incogitable number of measurement configurations as the system dimension grows. We propose and experimentally carry out an intuitive adaptive compressive to...
Gespeichert in:
| Veröffentlicht in: | Physical review letters 2019-03, Vol.122 (10), p.100404-100404, Article 100404 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 100404 |
|---|---|
| container_issue | 10 |
| container_start_page | 100404 |
| container_title | Physical review letters |
| container_volume | 122 |
| creator | Ahn, D Teo, Y S Jeong, H Bouchard, F Hufnagel, F Karimi, E Koutný, D Řeháček, J Hradil, Z Leuchs, G Sánchez-Soto, L L |
| description | Quantum state tomography is both a crucial component in the field of quantum information and computation and a formidable task that requires an incogitable 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. |
| doi_str_mv | 10.1103/PhysRevLett.122.100404 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2201711799</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2201711799</sourcerecordid><originalsourceid>FETCH-LOGICAL-c339t-f476d581a949aedb745eb2f420811ebea4104e1cd8a5c1e323a92933f1f1e2fc3</originalsourceid><addsrcrecordid>eNpdkM9Kw0AQhxdRbK2-Qgl48ZI6s7tNsgcPpfinUFSknsMmmdiUJht3k0rfxmfxyUxpFfE0c_h-P2Y-xoYII0QQ18_LrXuhzZyaZoScjxBAgjxifYRQ-SGiPGZ9AIG-Agh77My5FQAgD6JT1hOgBA-46rObSabrptiQNzVlbcm53b4wpXmzul5uvY-iWXqPxtNfn7UtjC28WZUbW-qmMNU5O8n12tHFYQ7Y693tYvrgz5_uZ9PJ3E-FUI2fyzDIxhFqJZWmLAnlmBKeSw4RIiWkJYIkTLNIj1MkwYVWXAmRY47E81QM2NW-t7bmvSXXxGXhUlqvdUWmdTHngN3PoVIdevkPXZnWVt11OypEEWEoOirYU6k1zlnK4-65UtttjBDvBMd_BMed4HgvuAsOD_VtUlL2G_sxKr4Bs195uw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2207138173</pqid></control><display><type>article</type><title>Adaptive Compressive Tomography with No a priori Information</title><source>American Physical Society Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Ahn, D ; Teo, Y S ; Jeong, H ; Bouchard, F ; Hufnagel, F ; Karimi, E ; Koutný, D ; Řeháček, J ; Hradil, Z ; Leuchs, G ; Sánchez-Soto, L L</creator><creatorcontrib>Ahn, D ; Teo, Y S ; Jeong, H ; Bouchard, F ; Hufnagel, F ; Karimi, E ; Koutný, D ; Řeháček, J ; Hradil, Z ; Leuchs, G ; Sánchez-Soto, L L</creatorcontrib><description>Quantum state tomography is both a crucial component in the field of quantum information and computation and a formidable task that requires an incogitable 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.</description><identifier>ISSN: 0031-9007</identifier><identifier>EISSN: 1079-7114</identifier><identifier>DOI: 10.1103/PhysRevLett.122.100404</identifier><identifier>PMID: 30932629</identifier><language>eng</language><publisher>United States: American Physical Society</publisher><subject>Adaptive systems ; Configurations ; Quantum computing ; Quantum phenomena ; Quantum theory ; Signal reconstruction ; Tomography</subject><ispartof>Physical review letters, 2019-03, Vol.122 (10), p.100404-100404, Article 100404</ispartof><rights>Copyright American Physical Society Mar 15, 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-f476d581a949aedb745eb2f420811ebea4104e1cd8a5c1e323a92933f1f1e2fc3</citedby><cites>FETCH-LOGICAL-c339t-f476d581a949aedb745eb2f420811ebea4104e1cd8a5c1e323a92933f1f1e2fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2876,2877,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30932629$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahn, D</creatorcontrib><creatorcontrib>Teo, Y S</creatorcontrib><creatorcontrib>Jeong, H</creatorcontrib><creatorcontrib>Bouchard, F</creatorcontrib><creatorcontrib>Hufnagel, F</creatorcontrib><creatorcontrib>Karimi, E</creatorcontrib><creatorcontrib>Koutný, D</creatorcontrib><creatorcontrib>Řeháček, J</creatorcontrib><creatorcontrib>Hradil, Z</creatorcontrib><creatorcontrib>Leuchs, G</creatorcontrib><creatorcontrib>Sánchez-Soto, L L</creatorcontrib><title>Adaptive Compressive Tomography with No a priori Information</title><title>Physical review letters</title><addtitle>Phys Rev Lett</addtitle><description>Quantum state tomography is both a crucial component in the field of quantum information and computation and a formidable task that requires an incogitable 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.</description><subject>Adaptive systems</subject><subject>Configurations</subject><subject>Quantum computing</subject><subject>Quantum phenomena</subject><subject>Quantum theory</subject><subject>Signal reconstruction</subject><subject>Tomography</subject><issn>0031-9007</issn><issn>1079-7114</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpdkM9Kw0AQhxdRbK2-Qgl48ZI6s7tNsgcPpfinUFSknsMmmdiUJht3k0rfxmfxyUxpFfE0c_h-P2Y-xoYII0QQ18_LrXuhzZyaZoScjxBAgjxifYRQ-SGiPGZ9AIG-Agh77My5FQAgD6JT1hOgBA-46rObSabrptiQNzVlbcm53b4wpXmzul5uvY-iWXqPxtNfn7UtjC28WZUbW-qmMNU5O8n12tHFYQ7Y693tYvrgz5_uZ9PJ3E-FUI2fyzDIxhFqJZWmLAnlmBKeSw4RIiWkJYIkTLNIj1MkwYVWXAmRY47E81QM2NW-t7bmvSXXxGXhUlqvdUWmdTHngN3PoVIdevkPXZnWVt11OypEEWEoOirYU6k1zlnK4-65UtttjBDvBMd_BMed4HgvuAsOD_VtUlL2G_sxKr4Bs195uw</recordid><startdate>20190315</startdate><enddate>20190315</enddate><creator>Ahn, D</creator><creator>Teo, Y S</creator><creator>Jeong, H</creator><creator>Bouchard, F</creator><creator>Hufnagel, F</creator><creator>Karimi, E</creator><creator>Koutný, D</creator><creator>Řeháček, J</creator><creator>Hradil, Z</creator><creator>Leuchs, G</creator><creator>Sánchez-Soto, L L</creator><general>American Physical Society</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope></search><sort><creationdate>20190315</creationdate><title>Adaptive Compressive Tomography with No a priori Information</title><author>Ahn, D ; Teo, Y S ; Jeong, H ; Bouchard, F ; Hufnagel, F ; Karimi, E ; Koutný, D ; Řeháček, J ; Hradil, Z ; Leuchs, G ; Sánchez-Soto, L L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-f476d581a949aedb745eb2f420811ebea4104e1cd8a5c1e323a92933f1f1e2fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adaptive systems</topic><topic>Configurations</topic><topic>Quantum computing</topic><topic>Quantum phenomena</topic><topic>Quantum theory</topic><topic>Signal reconstruction</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahn, D</creatorcontrib><creatorcontrib>Teo, Y S</creatorcontrib><creatorcontrib>Jeong, H</creatorcontrib><creatorcontrib>Bouchard, F</creatorcontrib><creatorcontrib>Hufnagel, F</creatorcontrib><creatorcontrib>Karimi, E</creatorcontrib><creatorcontrib>Koutný, D</creatorcontrib><creatorcontrib>Řeháček, J</creatorcontrib><creatorcontrib>Hradil, Z</creatorcontrib><creatorcontrib>Leuchs, G</creatorcontrib><creatorcontrib>Sánchez-Soto, L L</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Physical review letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahn, D</au><au>Teo, Y S</au><au>Jeong, H</au><au>Bouchard, F</au><au>Hufnagel, F</au><au>Karimi, E</au><au>Koutný, D</au><au>Řeháček, J</au><au>Hradil, Z</au><au>Leuchs, G</au><au>Sánchez-Soto, L L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Compressive Tomography with No a priori Information</atitle><jtitle>Physical review letters</jtitle><addtitle>Phys Rev Lett</addtitle><date>2019-03-15</date><risdate>2019</risdate><volume>122</volume><issue>10</issue><spage>100404</spage><epage>100404</epage><pages>100404-100404</pages><artnum>100404</artnum><issn>0031-9007</issn><eissn>1079-7114</eissn><abstract>Quantum state tomography is both a crucial component in the field of quantum information and computation and a formidable task that requires an incogitable 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.</abstract><cop>United States</cop><pub>American Physical Society</pub><pmid>30932629</pmid><doi>10.1103/PhysRevLett.122.100404</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0031-9007 |
| ispartof | Physical review letters, 2019-03, Vol.122 (10), p.100404-100404, Article 100404 |
| issn | 0031-9007 1079-7114 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2201711799 |
| source | American Physical Society Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Adaptive systems Configurations Quantum computing Quantum phenomena Quantum theory Signal reconstruction Tomography |
| title | Adaptive Compressive Tomography with No a priori Information |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T10%3A58%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adaptive%20Compressive%20Tomography%20with%20No%20a%C2%A0priori%20Information&rft.jtitle=Physical%20review%20letters&rft.au=Ahn,%20D&rft.date=2019-03-15&rft.volume=122&rft.issue=10&rft.spage=100404&rft.epage=100404&rft.pages=100404-100404&rft.artnum=100404&rft.issn=0031-9007&rft.eissn=1079-7114&rft_id=info:doi/10.1103/PhysRevLett.122.100404&rft_dat=%3Cproquest_cross%3E2201711799%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2207138173&rft_id=info:pmid/30932629&rfr_iscdi=true |