iBet uBet
web content aggregator. Adding the entire web to your favor.
Link to original content:
https://api.openalex.org/works/doi:10.48550/ARXIV.2206.04741
{"id":"https://openalex.org/W4282813741","doi":"https://doi.org/10.48550/arxiv.2206.04741","title":"Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning","display_name":"Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4282813741","doi":"https://doi.org/10.48550/arxiv.2206.04741"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2206.04741","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2206.04741","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013534474","display_name":"Simon Wiedemann","orcid":"https://orcid.org/0000-0001-5144-3758"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wiedemann, Simon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003471349","display_name":"Daniel Hein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hein, Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035246650","display_name":"Steffen Udluft","orcid":"https://orcid.org/0000-0002-5767-2591"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Udluft, Steffen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046016921","display_name":"Christian B. Mendl","orcid":"https://orcid.org/0000-0002-6386-0230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mendl, Christian","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.671253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing and Simulation","score":0.9791,"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 and Simulation","score":0.9791,"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 Computation","score":0.9597,"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/T12611","display_name":"Photonic Reservoir Computing for Neural Computation","score":0.9346,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum-error-correction","display_name":"Quantum Error Correction","score":0.577104},{"id":"https://openalex.org/keywords/quantum-simulation","display_name":"Quantum Simulation","score":0.560759},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"Quantum Machine Learning","score":0.554736},{"id":"https://openalex.org/keywords/fault-tolerant-quantum-computation","display_name":"Fault-tolerant Quantum Computation","score":0.554578},{"id":"https://openalex.org/keywords/quantum-computation","display_name":"Quantum Computation","score":0.549219},{"id":"https://openalex.org/keywords/quantum-sort","display_name":"Quantum sort","score":0.44413057}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8446109},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.71419215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099719},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6002165},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5437379},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.46169838},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.45066062},{"id":"https://openalex.org/C62641251","wikidata":"https://www.wikidata.org/wiki/Q7269097","display_name":"Quantum sort","level":5,"score":0.44413057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3918406},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36143076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34644285},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.32356775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26393482},{"id":"https://openalex.org/C51003876","wikidata":"https://www.wikidata.org/wiki/Q1536431","display_name":"Quantum error correction","level":4,"score":0.24497935},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.105308324},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08696526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2206.04741","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2206.04741","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2206.04741","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.69,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4213379151","https://openalex.org/W2911278742","https://openalex.org/W2910123824","https://openalex.org/W2766195849","https://openalex.org/W2409877639","https://openalex.org/W2240703699","https://openalex.org/W2158634152","https://openalex.org/W2075026242","https://openalex.org/W2045780663","https://openalex.org/W1892130226"],"abstract_inverted_index":{"We":[0,87],"present":[1,147],"a":[2,8,17,81,111,116,127,154],"full":[3],"implementation":[4,149],"and":[5,19,36,49,77,84,107],"simulation":[6],"of":[7,22,46,64,115,150],"novel":[9],"quantum":[10,26,44,51,90,112,128],"reinforcement":[11,33],"learning":[12,34],"method.":[13],"Our":[14,67],"work":[15],"is":[16,95,108,143],"detailed":[18],"formal":[20],"proof":[21],"concept":[23],"for":[24,153],"how":[25,72],"algorithms":[27],"can":[28,53],"be":[29],"used":[30],"to":[31,41,73,100],"solve":[32],"problems":[35],"shows":[37,69],"that,":[38],"given":[39],"access":[40],"error-free,":[42],"efficient":[43,98],"realizations":[45],"the":[47,141],"agent":[48],"environment,":[50],"methods":[52,61],"yield":[54],"provable":[55],"improvements":[56],"over":[57],"classical":[58,103],"Monte-Carlo":[59],"based":[60,109],"in":[62,70],"terms":[63],"sample":[65],"complexity.":[66],"approach":[68],"detail":[71],"combine":[74],"amplitude":[75],"estimation":[76,106],"Grover":[78,138],"search":[79,139],"into":[80],"policy":[82,91,129,136],"evaluation":[83,92],"improvement":[85],"scheme.":[86],"first":[88],"develop":[89],"(QPE)":[93],"which":[94,158],"quadratically":[96],"more":[97],"compared":[99],"an":[101,134,148],"analogous":[102],"Monte":[104],"Carlo":[105],"on":[110,123],"mechanical":[113],"realization":[114],"finite":[117],"Markov":[118],"decision":[119],"process":[120],"(MDP).":[121],"Building":[122],"QPE,":[124],"we":[125,146,159],"derive":[126],"iteration":[130],"that":[131],"repeatedly":[132],"improves":[133],"initial":[135],"using":[137],"until":[140],"optimum":[142],"reached.":[144],"Finally,":[145],"our":[151],"algorithm":[152],"two-armed":[155],"bandit":[156],"MDP":[157],"then":[160],"simulate.":[161]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4282813741","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2024-10-01T19:51:59.076125","created_date":"2022-06-14"}
