{"id":"https://openalex.org/W4412581815","doi":"https://doi.org/10.1007/s42484-026-00459-5","title":"Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion","display_name":"Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion","publication_year":2026,"publication_date":"2026-10-09","ids":{"openalex":"https://openalex.org/W4412581815","doi":"https://doi.org/10.1007/s42484-026-00459-5"},"language":"en","primary_location":{"id":"doi:10.1007/s42484-026-00459-5","doi":"https://doi.org/10.1007/s42484-026-00459-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-026-00459-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-026-00459-5.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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","poland-20","russia-white-list-1"],"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"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42484-026-00459-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092691965","display_name":"Marco Parigi","orcid":"https://orcid.org/0009-0001-7625-5355","observed_orcids":["https://orcid.org/0009-0001-7625-5355"]},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Parigi","raw_affiliation_strings":["Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","University of Florence"],"raw_orcid":"https://orcid.org/0009-0001-7625-5355","affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"University of Florence","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015712632","display_name":"Stefano Martina","orcid":"https://orcid.org/0000-0001-6024-1752","observed_orcids":["https://orcid.org/0000-0001-6024-1752"]},"institutions":[{"id":"https://openalex.org/I1314107994","display_name":"European Laboratory for Non-Linear Spectroscopy","ror":"https://ror.org/04x48z588","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1314107994","https://openalex.org/I45084792"]},{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Martina","raw_affiliation_strings":["Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","LENS - European Laboratory for Non-Linear Spectroscopy, University of Florence, Via Nello Carrara 1, Sesto Fiorentino, 50019, Florence, Italy","University of Florence"],"raw_orcid":"https://orcid.org/0000-0001-6024-1752","affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"LENS - European Laboratory for Non-Linear Spectroscopy, University of Florence, Via Nello Carrara 1, Sesto Fiorentino, 50019, Florence, Italy","institution_ids":["https://openalex.org/I1314107994","https://openalex.org/I45084792"]},{"raw_affiliation_string":"University of Florence","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115729313","display_name":"Francesco Aldo Venturelli","orcid":"https://orcid.org/0009-0005-7934-5929","observed_orcids":["https://orcid.org/0009-0005-7934-5929"]},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]},{"id":"https://openalex.org/I2799803557","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["ES","IT"],"is_corresponding":false,"raw_author_name":"Francesco Aldo Venturelli","raw_affiliation_strings":["Department of Engineering, University Pompeu Fabra, T\u00e0nger 122-140, Barcelona, 08018, Barcelona, Spain","Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","Quantic, Barcelona Supercomputing Center, Pla\u00e7a Eusebi G\u00fcell 1-3, Barcelona, 08034, Barcelona, Spain","University of Florence"],"raw_orcid":"https://orcid.org/0009-0005-7934-5929","affiliations":[{"raw_affiliation_string":"Department of Engineering, University Pompeu Fabra, T\u00e0nger 122-140, Barcelona, 08018, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Quantic, Barcelona Supercomputing Center, Pla\u00e7a Eusebi G\u00fcell 1-3, Barcelona, 08034, Barcelona, Spain","institution_ids":["https://openalex.org/I2799803557"]},{"raw_affiliation_string":"University of Florence","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025624200","display_name":"Filippo Caruso","orcid":"https://orcid.org/0000-0002-8366-4296","observed_orcids":["https://orcid.org/0000-0002-8366-4296"]},"institutions":[{"id":"https://openalex.org/I1314107994","display_name":"European Laboratory for Non-Linear Spectroscopy","ror":"https://ror.org/04x48z588","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1314107994","https://openalex.org/I45084792"]},{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Caruso","raw_affiliation_strings":["Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","LENS - European Laboratory for Non-Linear Spectroscopy, University of Florence, Via Nello Carrara 1, Sesto Fiorentino, 50019, Florence, Italy","University of Florence"],"raw_orcid":"https://orcid.org/0000-0002-8366-4296","affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, University of Florence, Via Sansone 1, Sesto Fiorentino, 50019, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"LENS - European Laboratory for Non-Linear Spectroscopy, University of Florence, Via Nello Carrara 1, Sesto Fiorentino, 50019, Florence, Italy","institution_ids":["https://openalex.org/I1314107994","https://openalex.org/I45084792"]},{"raw_affiliation_string":"University of Florence","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015712632"],"corresponding_institution_ids":["https://openalex.org/I1314107994","https://openalex.org/I45084792"],"apc_list":{"value":3390,"currency":"USD","value_usd":3390},"apc_paid":{"value":3390,"currency":"USD","value_usd":3390},"fwci":10.0734,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97228609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"8","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":0.9994999766349792,"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":0.9994999766349792,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.0,"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/generative-ai","display_name":"generative AI","score":0.8240000009536743},{"id":"https://openalex.org/keywords/quantum-classical-hybrid-dynamics","display_name":"quantum-classical hybrid dynamics","score":0.6600000262260437},{"id":"https://openalex.org/keywords/ibm-quantum-hardware","display_name":"IBM quantum hardware","score":0.7450000047683716},{"id":"https://openalex.org/keywords/image-generation","display_name":"image generation","score":0.9319999814033508},{"id":"https://openalex.org/keywords/mnist","display_name":"MNIST","score":0.7350000143051147},{"id":"https://openalex.org/keywords/frechet-inception-distance","display_name":"Fr\u00e9chet Inception Distance","score":0.9110000133514404}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.605995774269104},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5863149166107178},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5599800944328308},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.509192168712616},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5069570541381836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44502002000808716},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.37387406826019287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34248843789100647},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.32811933755874634},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.2085970938205719}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s42484-026-00459-5","doi":"https://doi.org/10.1007/s42484-026-00459-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-026-00459-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-026-00459-5.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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","poland-20","russia-white-list-1"],"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"},{"id":"doi:10.21203/rs.3.rs-6856956/v1","doi":"https://doi.org/10.21203/rs.3.rs-6856956/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-6856956/v1","pdf_url":"https://www.researchsquare.com/article/rs-6856956/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},{"id":"pmh:oai:arXiv.org:2505.22193","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2505.22193","pdf_url":"https://arxiv.org/pdf/2505.22193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:flore.unifi.it:2158/1494572","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2158/1494572","pdf_url":"https://flore.unifi.it/bitstream/2158/1494572/1/pub2026-Physics-inspired_Generative_AI_models_via_real_hardware-based_noisy_quantum_diffusion.pdf","source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.2505.22193","doi":"https://doi.org/10.48550/arxiv.2505.22193","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.22193","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.1007/s42484-026-00459-5","doi":"https://doi.org/10.1007/s42484-026-00459-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-026-00459-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-026-00459-5.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,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","poland-20","russia-white-list-1"],"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":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5443090575","display_name":null,"funder_award_id":"PE 0000023","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G777498305","display_name":null,"funder_award_id":"PE0000023-NQSTI","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322648","display_name":"Universit\u00e0 degli Studi di Firenze","ror":"https://ror.org/04jr1s763"},{"id":"https://openalex.org/F4320329094","display_name":"Fondazione Cassa di Risparmio di Firenze","ror":"https://ror.org/049wkn258"},{"id":"https://openalex.org/F7311471023","display_name":"NextGenerationEU","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412581815.pdf","grobid_xml":"https://content.openalex.org/works/W4412581815.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1492999010","https://openalex.org/W1512388153","https://openalex.org/W1567283994","https://openalex.org/W1639600422","https://openalex.org/W1703275993","https://openalex.org/W1966092221","https://openalex.org/W1983576719","https://openalex.org/W1999799374","https://openalex.org/W2006096862","https://openalex.org/W2010123297","https://openalex.org/W2015683881","https://openalex.org/W2017761002","https://openalex.org/W2025744050","https://openalex.org/W2032839191","https://openalex.org/W2036888681","https://openalex.org/W2040927484","https://openalex.org/W2054665888","https://openalex.org/W2084652510","https://openalex.org/W2106219500","https://openalex.org/W2154196599","https://openalex.org/W2161685427","https://openalex.org/W2168676717","https://openalex.org/W2183341477","https://openalex.org/W2238514032","https://openalex.org/W2257937122","https://openalex.org/W2559394418","https://openalex.org/W2734358244","https://openalex.org/W2755255888","https://openalex.org/W2763302490","https://openalex.org/W2781738013","https://openalex.org/W2785399333","https://openalex.org/W2794722731","https://openalex.org/W2798945316","https://openalex.org/W2798967590","https://openalex.org/W2948978827","https://openalex.org/W3005185413","https://openalex.org/W3005238411","https://openalex.org/W3023478445","https://openalex.org/W3037443854","https://openalex.org/W3096831136","https://openalex.org/W3100347129","https://openalex.org/W3164073512","https://openalex.org/W3179666622","https://openalex.org/W3192537824","https://openalex.org/W3194478582","https://openalex.org/W3206451759","https://openalex.org/W4213212652","https://openalex.org/W4221139344","https://openalex.org/W4246058727","https://openalex.org/W4310861554","https://openalex.org/W4312497550","https://openalex.org/W4312933868","https://openalex.org/W4362553200","https://openalex.org/W4389291038","https://openalex.org/W4390961443","https://openalex.org/W4391591700","https://openalex.org/W4391800528","https://openalex.org/W4391885348","https://openalex.org/W4392240014","https://openalex.org/W4392453999","https://openalex.org/W4394998532","https://openalex.org/W4400657133","https://openalex.org/W4401943425","https://openalex.org/W4402920094","https://openalex.org/W4404773883","https://openalex.org/W4405183524","https://openalex.org/W4408446894","https://openalex.org/W7119511255","https://openalex.org/W7133185348"],"related_works":["https://openalex.org/W4408557134","https://openalex.org/W7154548926","https://openalex.org/W4400657133","https://openalex.org/W4410466000","https://openalex.org/W4389291038","https://openalex.org/W7133232089","https://openalex.org/W4416252171","https://openalex.org/W4401943425","https://openalex.org/W7131242940","https://openalex.org/W7167832008"],"abstract_inverted_index":{"Abstract":[0],"Quantum":[1],"Diffusion":[2],"Models":[3],"(QDMs)":[4],"are":[5,29],"an":[6,107],"emerging":[7],"paradigm":[8],"in":[9,76,143],"Generative":[10,145],"AI":[11],"that":[12,67],"aims":[13],"to":[14,18,34,109,133],"use":[15,59],"quantum":[16,39,63,72,120,144,148],"properties":[17],"improve":[19],"the":[20,35,56,60,77,102,114,135],"performances":[21],"of":[22,37,62,71,87,117],"their":[23],"classical":[24,74,99],"counterparts.":[25],"However,":[26],"existing":[27],"algorithms":[28,142],"not":[30],"easily":[31],"scalable":[32],"due":[33],"limitations":[36],"near-term":[38],"devices.":[40],"Following":[41],"our":[42],"previous":[43],"work":[44,127],"on":[45],"QDMs,":[46],"here":[47],"we":[48,58,105],"propose":[49],"and":[50,73],"implement":[51],"two":[52],"physics-inspired":[53],"protocols.":[54],"In":[55,101],"first,":[57],"formalism":[61],"stochastic":[64],"walks,":[65],"showing":[66],"a":[68,130,159],"specific":[69],"interplay":[70],"dynamics":[75],"forward":[78],"process":[79],"produces":[80],"statistically":[81],"more":[82],"robust":[83],"models":[84],"generating":[85],"sets":[86],"MNIST":[88],"images":[89,111],"with":[90,122],"lower":[91],"Fr\u00e9chet":[92],"Inception":[93],"Distance":[94],"(FID)":[95],"than":[96],"using":[97],"totally":[98],"dynamics.":[100],"second":[103],"approach,":[104],"realize":[106],"algorithm":[108],"generate":[110],"by":[112],"exploiting":[113],"intrinsic":[115],"noise":[116,149],"real":[118],"IBM":[119],"hardware":[121],"only":[123],"four":[124],"qubits.":[125],"Our":[126],"could":[128],"be":[129],"starting":[131],"point":[132],"pave":[134],"way":[136],"for":[137,140],"new":[138],"scenarios":[139],"large-scale":[141],"AI,":[146],"where":[147],"is":[150],"neither":[151],"mitigated":[152],"nor":[153],"corrected,":[154],"but":[155],"instead":[156],"exploited":[157],"as":[158],"useful":[160],"resource.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2025-10-10T00:00:00"}