{"id":"https://openalex.org/W3089851189","doi":null,"title":"Explorations in machine learning for interacting many-body systems.","display_name":"Explorations in machine learning for interacting many-body systems.","publication_year":2020,"publication_date":"2020-09-03","ids":{"openalex":"https://openalex.org/W3089851189","mag":"3089851189"},"language":"en","primary_location":{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/16239","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/16239","pdf_url":"http://hdl.handle.net/10012/16239","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"volume":null,"type":"dissertation","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10012/16239","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027398854","display_name":"Jonathon Matthew Schulz-Beach","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jonathon Matthew Schulz-Beach","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5027398854"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":false,"primary_topic":{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.9848999977111816,"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"}},"topics":[{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.9848999977111816,"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"}},{"id":"https://openalex.org/T10591","display_name":"Theoretical and Computational Physics","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.0020000000949949026,"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/interacting-many-body-systems","display_name":"interacting many-body systems","score":0.9639999866485596},{"id":"https://openalex.org/keywords/strongly-correlated-systems","display_name":"strongly correlated systems","score":0.8759999871253967},{"id":"https://openalex.org/keywords/machine-learning-in-physics","display_name":"machine learning for physics","score":0.6150000095367432},{"id":"https://openalex.org/keywords/phase-classification","display_name":"phase classification","score":0.5659999847412109},{"id":"https://openalex.org/keywords/rotational-symmetry","display_name":"rotational symmetry","score":0.7829999923706055},{"id":"https://openalex.org/keywords/inductive-bias","display_name":"inductive bias","score":0.9710000157356262},{"id":"https://openalex.org/keywords/neural-network-architecture","display_name":"neural network architecture","score":0.6729999780654907},{"id":"https://openalex.org/keywords/renormalization-group","display_name":"renormalization group","score":0.8399999737739563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.7630000114440918},{"id":"https://openalex.org/keywords/classical-ising-model","display_name":"classical Ising model","score":0.8309999704360962},{"id":"https://openalex.org/keywords/super-resolution","display_name":"super-resolution","score":0.8510000109672546},{"id":"https://openalex.org/keywords/quantum-state-tomography","display_name":"quantum state tomography","score":0.9229999780654907},{"id":"https://openalex.org/keywords/latent-variable-modeling","display_name":"latent variable models","score":0.8410000205039978},{"id":"https://openalex.org/keywords/variational-monte-carlo","display_name":"variational Monte Carlo","score":0.9520000219345093},{"id":"https://openalex.org/keywords/quantum-algorithms","display_name":"quantum algorithms","score":0.5270000100135803},{"id":"https://openalex.org/keywords/quantum-many-body-systems","display_name":"quantum many-body systems","score":0.4269999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4245755672454834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38656285405158997},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33983874320983887}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/16239","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/16239","pdf_url":"http://hdl.handle.net/10012/16239","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},{"id":"mag:3089851189","doi":null,"is_oa":false,"landing_page_url":"https://uwspace.uwaterloo.ca/handle/10012/16239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:uwspace.uwaterloo.ca:10012/16239","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10012/16239","pdf_url":"http://hdl.handle.net/10012/16239","source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3089851189.pdf","grobid_xml":"https://content.openalex.org/works/W3089851189.grobid-xml"},"referenced_works_count":144,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W138638707","https://openalex.org/W160518608","https://openalex.org/W196665653","https://openalex.org/W1489119587","https://openalex.org/W1495787831","https://openalex.org/W1530042113","https://openalex.org/W1582774210","https://openalex.org/W1585773866","https://openalex.org/W1602773783","https://openalex.org/W1613930988","https://openalex.org/W1631356911","https://openalex.org/W1779497736","https://openalex.org/W1813659000","https://openalex.org/W1849277567","https://openalex.org/W1885185971","https://openalex.org/W1888321505","https://openalex.org/W1890000358","https://openalex.org/W1963992244","https://openalex.org/W1964103971","https://openalex.org/W1966849862","https://openalex.org/W1969758109","https://openalex.org/W1971066335","https://openalex.org/W1973224679","https://openalex.org/W1977493031","https://openalex.org/W1977658351","https://openalex.org/W1977913704","https://openalex.org/W1979648884","https://openalex.org/W1982039177","https://openalex.org/W1988115241","https://openalex.org/W1990455780","https://openalex.org/W1990516747","https://openalex.org/W1991918076","https://openalex.org/W2000301716","https://openalex.org/W2004482355","https://openalex.org/W2006767942","https://openalex.org/W2008317504","https://openalex.org/W2008353316","https://openalex.org/W2009752215","https://openalex.org/W2011538146","https://openalex.org/W2013872595","https://openalex.org/W2016751437","https://openalex.org/W2017474131","https://openalex.org/W2027724777","https://openalex.org/W2032601791","https://openalex.org/W2033368244","https://openalex.org/W2034816134","https://openalex.org/W2036604884","https://openalex.org/W2038352782","https://openalex.org/W2039081246","https://openalex.org/W2039318417","https://openalex.org/W2043005456","https://openalex.org/W2050368830","https://openalex.org/W2056755147","https://openalex.org/W2056760934","https://openalex.org/W2061579329","https://openalex.org/W2067041030","https://openalex.org/W2068617876","https://openalex.org/W2070448469","https://openalex.org/W2076063813","https://openalex.org/W2076227063","https://openalex.org/W2076878942","https://openalex.org/W2086860422","https://openalex.org/W2100495367","https://openalex.org/W2100832189","https://openalex.org/W2103496339","https://openalex.org/W2105614108","https://openalex.org/W2110361616","https://openalex.org/W2116064496","https://openalex.org/W2117802301","https://openalex.org/W2124160467","https://openalex.org/W2128084896","https://openalex.org/W2137084802","https://openalex.org/W2137748572","https://openalex.org/W2138309709","https://openalex.org/W2146502635","https://openalex.org/W2148816403","https://openalex.org/W2151773880","https://openalex.org/W2156740722","https://openalex.org/W2162676140","https://openalex.org/W2167325579","https://openalex.org/W2172568165","https://openalex.org/W2176950688","https://openalex.org/W2254754114","https://openalex.org/W2317586084","https://openalex.org/W2337082154","https://openalex.org/W2402144811","https://openalex.org/W2414456771","https://openalex.org/W2418689459","https://openalex.org/W2481818519","https://openalex.org/W2531147647","https://openalex.org/W2582761306","https://openalex.org/W2592570417","https://openalex.org/W2594041373","https://openalex.org/W2607839392","https://openalex.org/W2608461474","https://openalex.org/W2615003501","https://openalex.org/W2615473567","https://openalex.org/W2623750799","https://openalex.org/W2727796268","https://openalex.org/W2735457220","https://openalex.org/W2744305830","https://openalex.org/W2745533326","https://openalex.org/W2750458571","https://openalex.org/W2750673150","https://openalex.org/W2755255888","https://openalex.org/W2765597272","https://openalex.org/W2782726627","https://openalex.org/W2785331752","https://openalex.org/W2801184017","https://openalex.org/W2804616373","https://openalex.org/W2810721533","https://openalex.org/W2891096845","https://openalex.org/W2895136849","https://openalex.org/W2896609142","https://openalex.org/W2898121159","https://openalex.org/W2903221501","https://openalex.org/W2905527813","https://openalex.org/W2923779858","https://openalex.org/W2931651605","https://openalex.org/W2944084836","https://openalex.org/W2950109355","https://openalex.org/W2951697505","https://openalex.org/W2956731923","https://openalex.org/W2962767882","https://openalex.org/W2963310665","https://openalex.org/W2963341956","https://openalex.org/W2963470893","https://openalex.org/W2972246420","https://openalex.org/W2973968510","https://openalex.org/W2982316857","https://openalex.org/W2986765247","https://openalex.org/W2995742898","https://openalex.org/W2996496795","https://openalex.org/W2996607545","https://openalex.org/W3005029016","https://openalex.org/W3042336720","https://openalex.org/W3100964163","https://openalex.org/W3103863530","https://openalex.org/W3103910456","https://openalex.org/W3105432754","https://openalex.org/W3106158987","https://openalex.org/W3123219654","https://openalex.org/W3215460652"],"related_works":["https://openalex.org/W3125477492","https://openalex.org/W3214275744","https://openalex.org/W7214131272","https://openalex.org/W7222677590","https://openalex.org/W3042320022","https://openalex.org/W7018314923","https://openalex.org/W3195917723","https://openalex.org/W3210915374","https://openalex.org/W4387655418","https://openalex.org/W6929544887"],"abstract_inverted_index":{"Most":[0],"interacting":[1,166,278],"many-body":[2,167],"systems":[3,34,168],"in":[4,31,148,169],"physics":[5],"are":[6,13,27,113,120],"not":[7],"analytically":[8],"solvable.":[9],"Instead,":[10],"numerical":[11],"methods":[12],"needed":[14],"for":[15,245,277],"the":[16,42,61,75,84,124,127,136,143,163,190,215,228,246],"study":[17,164],"of":[18,44,63,77,86,101,126,135,145,165,179,181,189,250],"these":[19],"complex":[20],"and":[21,56,106,171,218,248],"high-dimensional":[22],"problems.":[23,151],"At":[24,41],"present,":[25],"there":[26],"many":[28,149],"interesting":[29],"problems":[30],"strongly":[32],"correlated":[33],"that":[35,52,202,273],"remain":[36],"unsolved":[37],"with":[38,183,255],"current":[39],"methods.":[40],"heart":[43],"this":[45,154],"problem":[46],"is":[47,82],"finding":[48,130],"an":[49,131,184,207],"efficient":[50],"representation":[51,134],"incorporates":[53],"symmetries,":[54],"correlations":[55],"general":[57],"features.":[58],"\\n":[59,152],"\\nIn":[60,153],"context":[62],"computer":[64],"science,":[65],"machine":[66,138,159,239],"learning":[67,139,160,220,240],"techniques":[68,161],"have":[69,92],"had":[70],"astonishing":[71],"success":[72],"at":[73,96],"reducing":[74],"dimensionality":[76,146],"data.":[78,128],"The":[79],"leading":[80],"method":[81],"through":[83,98,221],"use":[85],"artificial":[87],"neural":[88,111,225],"networks.":[89],"These":[90],"networks":[91,112],"been":[93],"enormously":[94],"successful":[95],"sifting":[97],"vast":[99],"amounts":[100],"data":[102],"to":[103,122,162,227,241,267],"find":[104],"patterns":[105],"regularities.":[107],"In":[108,193],"a":[109,115,198,223,256,268],"sense,":[110],"themselves":[114],"statistical":[116,173],"system":[117],"whose":[118],"properties":[119],"adjusted":[121],"mimic":[123],"features":[125],"By":[129],"effective":[132],"low-dimensional":[133],"data,":[137],"has":[140],"greatly":[141],"subdued":[142],"curse":[144],"found":[147],"real-world":[150],"Thesis,":[155],"we":[156,196,235],"apply":[157],"several":[158],"classical":[170,229],"quantum":[172,242,251,263,279],"physics.":[174],"We":[175,210,253],"explore":[176],"supervised":[177],"classification":[178],"phases":[180],"matter":[182],"emphasis":[185],"on":[186],"physical":[187],"interpretation":[188],"net-":[191],"work.":[192],"doing":[194],"so,":[195],"design":[197],"custom":[199],"network":[200,226],"architecture":[201],"possesses":[203],"rotational":[204],"symmetry":[205],"as":[206],"inductive":[208],"bias.":[209],"further":[211],"investigate":[212],"connections":[213],"between":[214],"renormalization":[216],"group":[217],"deep":[219],"applying":[222],"super-resolving":[224],"Ising":[230],"model.":[231],"Towards":[232],"experimental":[233],"efforts,":[234],"also":[236],"repurpose":[237],"generative":[238],"state":[243],"tomography":[244],"calibration":[247],"testing":[249],"devices.":[252],"conclude":[254],"latent":[257],"variable":[258],"model":[259],"inspired":[260],"by":[261],"near-term":[262],"algorithms.":[264],"This":[265],"maps":[266],"variational":[269],"Monte":[270],"Carlo":[271],"ansatz":[272],"produces":[274],"samples":[275],"efficiently":[276],"systems.":[280]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-10-08T00:00:00"}
