{"id":"https://openalex.org/W2952901660","doi":"https://doi.org/10.1088/2632-2153/ab43b4","title":"Reinforcement learning for semi-autonomous approximate quantum eigensolver","display_name":"Reinforcement learning for semi-autonomous approximate quantum eigensolver","publication_year":2020,"publication_date":"2020-02-04","ids":{"openalex":"https://openalex.org/W2952901660","doi":"https://doi.org/10.1088/2632-2153/ab43b4","mag":"2952901660"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ab43b4","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ab43b4","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/ab43b4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"F Albarr\u00e1n-Arriagada","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"F Albarr\u00e1n-Arriagada","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"J C Retamal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J C Retamal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"E Solano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E Solano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"L Lamata","orcid":"https://orcid.org/0000-0002-9504-8685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L Lamata","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9504-8685","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":2.3102,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.9046546,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"1","issue":"1","first_page":"015002","last_page":"015002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.7918000221252441,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.7918000221252441,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.12240000069141388,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hermitian-matrix","display_name":"Hermitian matrix","score":0.7253999710083008},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6880999803543091},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5291000008583069},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5275999903678894},{"id":"https://openalex.org/keywords/quantum-state","display_name":"Quantum state","score":0.5128999948501587},{"id":"https://openalex.org/keywords/qubit","display_name":"Qubit","score":0.48179998993873596},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.45719999074935913},{"id":"https://openalex.org/keywords/quantum-operation","display_name":"Quantum operation","score":0.4318000078201294},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.4058000147342682},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.40130001306533813}],"concepts":[{"id":"https://openalex.org/C94940","wikidata":"https://www.wikidata.org/wiki/Q652941","display_name":"Hermitian matrix","level":2,"score":0.7253999710083008},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6880999803543091},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5291000008583069},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C15706264","wikidata":"https://www.wikidata.org/wiki/Q230883","display_name":"Quantum state","level":3,"score":0.5128999948501587},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.48179998993873596},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.45719999074935913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.450300008058548},{"id":"https://openalex.org/C43682372","wikidata":"https://www.wikidata.org/wiki/Q7269080","display_name":"Quantum operation","level":4,"score":0.4318000078201294},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.4058000147342682},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.39989998936653137},{"id":"https://openalex.org/C96214315","wikidata":"https://www.wikidata.org/wiki/Q727103","display_name":"Unitary matrix","level":3,"score":0.38690000772476196},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C171972299","wikidata":"https://www.wikidata.org/wiki/Q6500908","display_name":"Self-adjoint operator","level":3,"score":0.36820000410079956},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.3598000109195709},{"id":"https://openalex.org/C11255438","wikidata":"https://www.wikidata.org/wiki/Q7269085","display_name":"Quantum process","level":4,"score":0.3490999937057495},{"id":"https://openalex.org/C192122513","wikidata":"https://www.wikidata.org/wiki/Q2835770","display_name":"Quantum phase estimation algorithm","level":5,"score":0.34689998626708984},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.3393999934196472},{"id":"https://openalex.org/C67820243","wikidata":"https://www.wikidata.org/wiki/Q179164","display_name":"Unitary state","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3310999870300293},{"id":"https://openalex.org/C51003876","wikidata":"https://www.wikidata.org/wiki/Q1536431","display_name":"Quantum error correction","level":4,"score":0.32280001044273376},{"id":"https://openalex.org/C187486625","wikidata":"https://www.wikidata.org/wiki/Q2122176","display_name":"Quantum channel","level":4,"score":0.31470000743865967},{"id":"https://openalex.org/C169699857","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Quantum information","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.2782000005245209},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C188313703","wikidata":"https://www.wikidata.org/wiki/Q1972470","display_name":"Unitary operator","level":3,"score":0.27570000290870667},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ab43b4","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ab43b4","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1906.06702","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.06702","pdf_url":"https://arxiv.org/pdf/1906.06702","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ab43b4","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ab43b4","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321705","display_name":"Eusko Jaurlaritza","ror":"https://ror.org/00pz2fp31"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1529944915","https://openalex.org/W1981439490","https://openalex.org/W1994630055","https://openalex.org/W2019658260","https://openalex.org/W2023789062","https://openalex.org/W2029532321","https://openalex.org/W2031056773","https://openalex.org/W2038713182","https://openalex.org/W2057923756","https://openalex.org/W2062738866","https://openalex.org/W2069563009","https://openalex.org/W2103956991","https://openalex.org/W2117941808","https://openalex.org/W2157120748","https://openalex.org/W2161685427","https://openalex.org/W2169434376","https://openalex.org/W2235412470","https://openalex.org/W2257937122","https://openalex.org/W2261928000","https://openalex.org/W2337082154","https://openalex.org/W2521267242","https://openalex.org/W2559394418","https://openalex.org/W2580674237","https://openalex.org/W2624637765","https://openalex.org/W2725502959","https://openalex.org/W2737127163","https://openalex.org/W2755255888","https://openalex.org/W2761015455","https://openalex.org/W2766447205","https://openalex.org/W2770147582","https://openalex.org/W2775127104","https://openalex.org/W2789409624","https://openalex.org/W2792315573","https://openalex.org/W2792946961","https://openalex.org/W2794503138","https://openalex.org/W2808711456","https://openalex.org/W2883862648","https://openalex.org/W2888720512","https://openalex.org/W2902907165","https://openalex.org/W2903712026","https://openalex.org/W2945544467","https://openalex.org/W2949870462","https://openalex.org/W2962961223","https://openalex.org/W2963784808","https://openalex.org/W3104481216"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,72,169],"characterization":[2],"of":[3,30,33,58,74,180,221,224,270,295],"an":[4,28,34,219,273],"operator":[5,228,274],"by":[6,83,202],"its":[7,15],"eigenvectors":[8,32,223,254],"and":[9,45,66,163,210,239,268,298,303],"eigenvalues":[10],"allows":[11],"us":[12],"to":[13,26,78,177,286],"know":[14],"action":[16],"over":[17,232],"any":[18,80],"quantum":[19,37,68,81,173,289],"state.":[20],"Here,":[21],"we":[22,216],"propose":[23],"a":[24,50,61,67,84,160,166,172,225,265],"protocol":[25,40,282],"obtain":[27,218],"approximation":[29,220],"the":[31,75,206,222,249,252,276],"arbitrary":[35],"Hermitian":[36,161],"operator.":[38],"This":[39,281],"is":[41,56,77,159,165,171],"based":[42],"on":[43],"measurement":[44],"feedback":[46,208],"processes,":[47],"which":[48,175,291],"characterize":[49],"reinforcement":[51],"learning":[52],"protocol.":[53],"Our":[54],"proposal":[55],"composed":[57],"two":[59],"systems,":[60],"black":[62],"box":[63],"named":[64,70],"environment":[65,76],"state":[69,82,174],"agent.":[71],"role":[73],"change":[79],"unitary":[85],"matrix":[86],"<mml:math":[87,138,181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88,139,182],"overflow=\"scroll\">":[89,140,183],"<mml:msub>":[90,117,141,184],"<mml:mrow>":[91,94,97,102,108,112,118,121,125,130,142,145,149,154,185,188,192,197],"<mml:mover":[92,119,143,186],"accent=\"true\">":[93,120,144,187],"<mml:mi>U</mml:mi>":[95],"</mml:mrow>":[96,99,101,104,111,124,127,129,132,134,148,151,153,156,191,194,196,199],"<mml:mo>\u02c6</mml:mo>":[98,126,150,193],"</mml:mover>":[100,128,152,195],"<mml:mi>E</mml:mi>":[103,131,155,198],"</mml:msub>":[105,133,157,200],"<mml:mo>=</mml:mo>":[106],"<mml:msup>":[107],"<mml:mi":[109,114,122,146,189],"mathvariant=\"normal\">e</mml:mi>":[110],"<mml:mo>\u2212</mml:mo>":[113],"mathvariant=\"normal\">i</mml:mi>":[115],"<mml:mi>\u03c4</mml:mi>":[116],"mathvariant=\"italic\">\ue23b</mml:mi>":[123,147,190],"</mml:msup>":[135],"</mml:math>":[136,158,201],"where":[137],"operator,":[162,267],"\u03c4":[164],"real":[167],"parameter.":[168],"agent":[170],"adapts":[176],"some":[178],"eigenvector":[179],"repeated":[203],"interactions":[204],"with":[205,229,257,275,300],"environment,":[207],"process,":[209],"semi-random":[211],"rotations.":[212],"With":[213],"this":[214],"proposal,":[215],"can":[217,283],"random":[226,266],"qubit":[227],"average":[230],"fidelity":[231],"90%":[233],"in":[234,242,261],"less":[235,243],"than":[236,244],"10":[237],"iterations,":[238],"surpass":[240],"98%":[241],"300":[245],"iterations.":[246],"Moreover,":[247],"for":[248,264,272],"two-qubit":[250],"cases,":[251],"four":[253],"are":[255],"obtained":[256],"fidelities":[258,269],"above":[259],"89%":[260],"8000":[262],"iterations":[263],"99%":[271],"Bell":[277],"states":[278],"as":[279],"eigenvectors.":[280],"be":[284,293],"useful":[285],"implement":[287],"semi-autonomous":[288],"devices":[290],"should":[292],"capable":[294],"extracting":[296],"information":[297],"deciding":[299],"minimal":[301],"resources":[302],"without":[304],"human":[305],"intervention.":[306]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-06-27T00:00:00"}
