{"id":"https://openalex.org/W4403311440","doi":"https://doi.org/10.1007/s42484-024-00200-0","title":"An inductive bias from quantum mechanics: learning order effects with non-commuting measurements","display_name":"An inductive bias from quantum mechanics: learning order effects with non-commuting measurements","publication_year":2024,"publication_date":"2024-10-10","ids":{"openalex":"https://openalex.org/W4403311440","doi":"https://doi.org/10.1007/s42484-024-00200-0"},"language":"en","primary_location":{"id":"doi:10.1007/s42484-024-00200-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-024-00200-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00200-0.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00200-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026885461","display_name":"Kaitlin Gili","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210150097","display_name":"Xanadu Quantum Technologies (Canada)","ror":"https://ror.org/05qj0n416","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210150097"]}],"countries":["CA","GB"],"is_corresponding":true,"raw_author_name":"Kaitlin Gili","raw_affiliation_strings":["University of Oxford, Oxford, OX1 2JD, UK","Xanadu, Toronto, ON, M5G 2C8, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, OX1 2JD, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Xanadu, Toronto, ON, M5G 2C8, Canada","institution_ids":["https://openalex.org/I4210150097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111152333","display_name":"Guillermo Alonso","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150097","display_name":"Xanadu Quantum Technologies (Canada)","ror":"https://ror.org/05qj0n416","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210150097"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guillermo Alonso","raw_affiliation_strings":["Xanadu, Toronto, ON, M5G 2C8, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xanadu, Toronto, ON, M5G 2C8, Canada","institution_ids":["https://openalex.org/I4210150097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073832417","display_name":"Maria Schuld","orcid":"https://orcid.org/0000-0001-8626-168X"},"institutions":[{"id":"https://openalex.org/I4210150097","display_name":"Xanadu Quantum Technologies (Canada)","ror":"https://ror.org/05qj0n416","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210150097"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maria Schuld","raw_affiliation_strings":["Xanadu, Toronto, ON, M5G 2C8, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xanadu, Toronto, ON, M5G 2C8, Canada","institution_ids":["https://openalex.org/I4210150097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026885461"],"corresponding_institution_ids":["https://openalex.org/I40120149","https://openalex.org/I4210150097"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.2588,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83569804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"6","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9976000189781189,"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/T10382","display_name":"Quantum and electron transport phenomena","score":0.9927999973297119,"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/order","display_name":"Order (exchange)","score":0.5263164043426514},{"id":"https://openalex.org/keywords/inductive-bias","display_name":"Inductive bias","score":0.44579434394836426},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.44331398606300354},{"id":"https://openalex.org/keywords/inductive-effect","display_name":"Inductive effect","score":0.4353524148464203},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.4196939468383789},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.36203497648239136},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3570992946624756},{"id":"https://openalex.org/keywords/theoretical-physics","display_name":"Theoretical physics","score":0.32534658908843994},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15407255291938782},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1463317573070526},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.125139057636261},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10450050234794617}],"concepts":[{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5263164043426514},{"id":"https://openalex.org/C197352929","wikidata":"https://www.wikidata.org/wiki/Q1074074","display_name":"Inductive bias","level":4,"score":0.44579434394836426},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.44331398606300354},{"id":"https://openalex.org/C147417210","wikidata":"https://www.wikidata.org/wiki/Q898645","display_name":"Inductive effect","level":2,"score":0.4353524148464203},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.4196939468383789},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.36203497648239136},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3570992946624756},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.32534658908843994},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15407255291938782},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1463317573070526},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.125139057636261},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10450050234794617},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42484-024-00200-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-024-00200-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00200-0.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42484-024-00200-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-024-00200-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00200-0.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403311440.pdf","grobid_xml":"https://content.openalex.org/works/W4403311440.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1535712563","https://openalex.org/W1558132685","https://openalex.org/W1994022788","https://openalex.org/W1998013227","https://openalex.org/W2028326218","https://openalex.org/W2053156638","https://openalex.org/W2057021283","https://openalex.org/W2251952542","https://openalex.org/W2281197553","https://openalex.org/W2324426967","https://openalex.org/W2343463553","https://openalex.org/W2488913930","https://openalex.org/W2554821553","https://openalex.org/W2579928628","https://openalex.org/W2616014493","https://openalex.org/W2624871570","https://openalex.org/W2752623698","https://openalex.org/W2771527763","https://openalex.org/W2784994528","https://openalex.org/W2794444783","https://openalex.org/W2797767079","https://openalex.org/W2898401615","https://openalex.org/W2912290085","https://openalex.org/W2914107480","https://openalex.org/W2977321575","https://openalex.org/W2980446414","https://openalex.org/W2980456669","https://openalex.org/W3090365491","https://openalex.org/W3099488273","https://openalex.org/W3101122608","https://openalex.org/W3102324541","https://openalex.org/W3104014430","https://openalex.org/W3104396616","https://openalex.org/W3108981297","https://openalex.org/W3118800713","https://openalex.org/W3124589309","https://openalex.org/W3136233239","https://openalex.org/W3148001159","https://openalex.org/W3156188855","https://openalex.org/W3182433019","https://openalex.org/W3203204622","https://openalex.org/W3207697613","https://openalex.org/W3215690986","https://openalex.org/W4205451681","https://openalex.org/W4210728928","https://openalex.org/W4231109964","https://openalex.org/W4285390635","https://openalex.org/W4287556261","https://openalex.org/W4296126438","https://openalex.org/W4297162327","https://openalex.org/W4306639577","https://openalex.org/W4320409339","https://openalex.org/W4360862153","https://openalex.org/W4385273453","https://openalex.org/W4386361598","https://openalex.org/W4386524022","https://openalex.org/W4389168362","https://openalex.org/W4394876281","https://openalex.org/W4404301932"],"related_works":["https://openalex.org/W1810370127","https://openalex.org/W4287773438","https://openalex.org/W2526443815","https://openalex.org/W2350866805","https://openalex.org/W2773625575","https://openalex.org/W1844544548","https://openalex.org/W3163830833","https://openalex.org/W1557378741","https://openalex.org/W1563624141","https://openalex.org/W3160776593"],"abstract_inverted_index":{"Abstract":[0],"There":[1],"are":[2],"two":[3],"major":[4],"approaches":[5],"to":[6,44,54,64,86,93,102,145,169,208],"building":[7],"good":[8],"machine":[9,49,91],"learning":[10,92,129],"algorithms:":[11],"feeding":[12],"lots":[13],"of":[14,32,78,89,97,120,138,158,192],"data":[15,104,198],"into":[16],"large":[17],"models":[18],"or":[19,150],"picking":[20],"a":[21,41,76,123,127,133,146],"model":[22,136,185,205,225],"class":[23],"with":[24,105],"an":[25],"\u201cinductive":[26],"bias\u201d":[27],"that":[28,179,202,223],"suits":[29,227],"the":[30,33,37,82,87,110,118,156,183,190,197,203,224,228],"structure":[31],"data.":[34],"When":[35],"taking":[36],"second":[38],"approach":[39],"as":[40,109,189],"starting":[42],"point":[43],"design":[45,126],"quantum":[46,60,69,83,90,98,135,184,204],"algorithms":[47],"for":[48,212],"learning,":[50],"it":[51],"is":[52,199],"important":[53],"understand":[55],"how":[56,95],"mathematical":[57],"structures":[58],"in":[59,68,112,122,131,180,196],"mechanics":[61],"can":[62,100,142,206],"lead":[63],"useful":[65],"inductive":[66],"biases":[67],"models.":[70],"In":[71],"this":[72],"work,":[73],"we":[74,161],"bring":[75],"collection":[77],"theoretical":[79],"evidence":[80],"from":[81],"cognition":[84],"literature":[85],"field":[88],"investigate":[94],"non-commutativity":[96,188],"observables":[99],"help":[101],"learn":[103,207],"\u201corder":[106],"effects,\u201d":[107],"such":[108],"changes":[111],"human":[113,167],"answering":[114],"patterns":[115],"when":[116,216],"swapping":[117],"order":[119,152,157,193],"questions":[121],"survey.":[124],"We":[125],"multi-task":[128],"setting":[130],"which":[132],"generative":[134],"consisting":[137],"sequential":[139],"learnable":[140],"measurements":[141],"be":[143],"adapted":[144],"given":[147],"task":[148],"\u2014":[149,153,220],"question":[151,214],"by":[154,166],"changing":[155],"observables,":[159],"and":[160,201],"provide":[162],"artificial":[163],"datasets":[164],"inspired":[165],"psychology":[168],"carry":[170],"out":[171],"our":[172],"investigation.":[173],"Our":[174],"first":[175],"experimental":[176],"simulations":[177],"show":[178],"some":[181],"cases":[182],"learns":[186],"more":[187],"amount":[191],"effect":[194],"present":[195],"increased":[200],"generate":[209],"better":[210],"samples":[211],"unseen":[213],"orders":[215],"trained":[217],"on":[218],"others":[219],"both":[221],"signs":[222],"architecture":[226],"task.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}