{"id":"https://openalex.org/W6966677034","doi":"https://doi.org/10.48550/arxiv.2508.10666","title":"Deep Learning in Classical and Quantum Physics","display_name":"Deep Learning in Classical and Quantum Physics","publication_year":2025,"publication_date":"2025-08-14","ids":{"openalex":"https://openalex.org/W6966677034","doi":"https://doi.org/10.48550/arxiv.2508.10666"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.2508.10666","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.10666","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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2508.10666","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Heightman, Timothy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heightman, Timothy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"P\u0142odzie\u0144, Marcin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P\u0142odzie\u0144, Marcin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13583","display_name":"Jury Decision Making Processes","score":0.12139999866485596,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13583","display_name":"Jury Decision Making Processes","score":0.12139999866485596,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14493","display_name":"Criminal Law and Evidence","score":0.10350000113248825,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12921","display_name":"European Criminal Justice and Data Protection","score":0.06449999660253525,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5522000193595886},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5024999976158142},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.4648999869823456},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.42179998755455017},{"id":"https://openalex.org/keywords/scientific-discovery","display_name":"Scientific discovery","score":0.41679999232292175},{"id":"https://openalex.org/keywords/quantum-technology","display_name":"Quantum technology","score":0.35910001397132874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5594000220298767},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5522000193595886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5024999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49070000648498535},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.42179998755455017},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C190463098","wikidata":"https://www.wikidata.org/wiki/Q2081419","display_name":"Quantum technology","level":4,"score":0.35910001397132874},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.35740000009536743},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.3395000100135803},{"id":"https://openalex.org/C116222747","wikidata":"https://www.wikidata.org/wiki/Q220888","display_name":"Falsifiability","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C5320026","wikidata":"https://www.wikidata.org/wiki/Q2122216","display_name":"Quantum information science","level":4,"score":0.3000999987125397},{"id":"https://openalex.org/C2776285698","wikidata":"https://www.wikidata.org/wiki/Q2642214","display_name":"Exposition (narrative)","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2508.10666","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.10666","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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2508.10666","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.10666","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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.8984633088111877,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Scientific":[0],"progress":[1],"is":[2,120],"tightly":[3],"coupled":[4],"to":[5,29,133,151,154,159,163,169,174],"the":[6,30,69,84,91],"emergence":[7],"of":[8,33,40,45,71,87],"new":[9],"research":[10,54],"tools.":[11],"Today,":[12],"machine":[13],"learning":[14,17],"(ML)-especially":[15],"deep":[16],"(DL)-has":[18],"become":[19],"a":[20,129,146],"transformative":[21],"instrument":[22],"for":[23,53,83,122,135],"quantum":[24,34,64,75,88,136,177],"science":[25],"and":[26,50,67,106,116,157,168,180],"technology.":[27],"Owing":[28],"intrinsic":[31],"complexity":[32],"systems,":[35],"DL":[36,134,161],"enables":[37],"efficient":[38],"exploration":[39],"large":[41],"parameter":[42],"spaces,":[43],"extraction":[44],"patterns":[46],"from":[47],"experimental":[48],"data,":[49,102],"data-driven":[51],"guidance":[52],"directions.":[55],"These":[56,125],"capabilities":[57],"already":[58],"support":[59],"tasks":[60],"such":[61],"as":[62,145],"refining":[63],"control":[65],"protocols":[66],"accelerating":[68],"discovery":[70],"materials":[72],"with":[73,109,141],"targeted":[74],"properties,":[76],"making":[77],"ML/DL":[78],"literacy":[79],"an":[80],"essential":[81],"skill":[82],"next":[85],"generation":[86],"scientists.":[89],"At":[90],"same":[92],"time,":[93],"DL's":[94],"power":[95],"brings":[96],"risks:":[97],"models":[98],"can":[99],"overfit":[100],"noisy":[101],"obscure":[103],"causal":[104],"structure,":[105],"yield":[107],"results":[108],"limited":[110],"physical":[111],"interpretability.":[112],"Recognizing":[113],"these":[114],"limitations":[115],"deploying":[117],"mitigation":[118],"strategies":[119],"crucial":[121],"scientific":[123],"rigor.":[124],"lecture":[126],"notes":[127],"provide":[128],"comprehensive,":[130],"graduate-level":[131],"introduction":[132],"applications,":[137],"combining":[138],"conceptual":[139],"exposition":[140],"hands-on":[142],"examples.":[143],"Organized":[144],"progressive":[147],"sequence,":[148],"they":[149],"aim":[150],"equip":[152],"readers":[153],"decide":[155],"when":[156],"how":[158],"apply":[160],"effectively,":[162],"understand":[164],"its":[165],"practical":[166],"constraints,":[167],"adapt":[170],"AI":[171],"methods":[172],"responsibly":[173],"problems":[175],"across":[176],"physics,":[178],"chemistry,":[179],"engineering.":[181]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
