{"id":"https://openalex.org/W6940984533","doi":"https://doi.org/10.11588/heidok.00030802","title":"Deep Learning and Neuromorphic Computing in Quantum Chromodynamics and Beyond","display_name":"Deep Learning and Neuromorphic Computing in Quantum Chromodynamics and Beyond","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W6940984533","doi":"https://doi.org/10.11588/heidok.00030802"},"language":"en","primary_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:30802","is_oa":true,"landing_page_url":"https://archiv.ub.uni-heidelberg.de/volltextserver/30802/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://archiv.ub.uni-heidelberg.de/volltextserver/30802/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kades, Lukas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kades, Lukas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35623287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.46619999408721924,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.46619999408721924,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.12099999934434891,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10825","display_name":"Plant Pathogens and Fungal Diseases","score":0.039900001138448715,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.579800009727478},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.5080999732017517},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5069000124931335},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.49779999256134033},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4625000059604645},{"id":"https://openalex.org/keywords/quantum-chromodynamics","display_name":"Quantum chromodynamics","score":0.46059998869895935},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4332999885082245},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"Quantum machine learning","score":0.3644999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65829998254776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975000262260437},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.5080999732017517},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5069000124931335},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.49779999256134033},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4625000059604645},{"id":"https://openalex.org/C117137515","wikidata":"https://www.wikidata.org/wiki/Q238170","display_name":"Quantum chromodynamics","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4332999885082245},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4277999997138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3711000084877014},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.3644999861717224},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3160000145435333},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:30802","is_oa":true,"landing_page_url":"https://archiv.ub.uni-heidelberg.de/volltextserver/30802/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"doi:10.11588/heidok.00030802","is_oa":true,"landing_page_url":"https://doi.org/10.11588/heidok.00030802","pdf_url":null,"source":{"id":"https://openalex.org/S7407051545","display_name":"University Library Heidelberg","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:30802","is_oa":true,"landing_page_url":"https://archiv.ub.uni-heidelberg.de/volltextserver/30802/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6253520846366882}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accompanied":[0],"by":[1,42,96,161,169],"the":[2,54,64,75,88,104,124,134,138,190],"fast":[3],"evolution":[4],"of":[5,14,56,66,90,112,137,193],"graphical":[6],"processing":[7],"units,":[8],"there":[9],"is":[10,31,131,156],"a":[11,28,98,109,127,157,171,184],"rapid":[12],"development":[13],"deep":[15,141],"learning":[16,167,186],"methods":[17,163],"with":[18,63,123,183],"applications":[19],"in":[20,47,53,84,133],"almost":[21],"all":[22],"natural":[23],"and":[24,37,59,87,148,168],"applied":[25],"sciences.":[26],"Simultaneously,":[27],"growing":[29],"interest":[30],"emerging":[32],"around":[33],"alternative,":[34],"more":[35],"energy-":[36],"time-efficient":[38],"computing":[39,72],"devices.":[40],"Driven":[41],"these":[43],"developments,":[44],"we":[45],"propose":[46],"this":[48],"thesis":[49,181],"several":[50],"possible":[51],"directions":[52],"field":[55],"quantum":[57,92,117],"chromodynamics":[58,118],"beyond.":[60],"We":[61,94],"start":[62],"exploration":[65],"novel":[67,151],"frontiers":[68],"to":[69,102,144,149],"perform":[70],"scientific":[71],"tasks":[73],"on":[74],"spike-based":[76],"BrainScaleS":[77],"neuromorphic":[78],"device.":[79],"This":[80],"includes":[81],"numerical":[82],"computations":[83],"statistical":[85,110],"physics":[86],"representation":[89],"entangled":[91],"states.":[93],"continue":[95],"establishing":[97],"new":[99,172],"mathematical":[100],"framework":[101,187],"tackle":[103],"so-called":[105],"sign":[106],"problem":[107,192],"impeding":[108],"analysis":[111],"many":[113],"physical":[114,154],"systems,":[115],"including":[116],"at":[119],"finite":[120],"density.":[121],"Dealing":[122],"same":[125],"problem,":[126],"machine":[128,166],"learning-driven":[129],"algorithm":[130,175],"proposed":[132],"subsequent":[135],"part":[136],"thesis.":[139],"Utilizing":[140],"neural":[142],"networks":[143],"recognize":[145],"undiscovered":[146],"structures":[147],"get":[150],"insights":[152],"into":[153],"data":[155],"further":[158],"direction":[159],"pursued":[160],"employing":[162],"from":[164,197],"explainable":[165],"proposing":[170],"unsupervised":[173],"training":[174],"for":[176,188],"generating":[177],"lower-dimensional":[178],"representations.":[179],"The":[180],"concludes":[182],"supervised":[185],"approaching":[189],"inverse":[191],"reconstructing":[194],"spectral":[195],"functions":[196],"Euclidean":[198],"propagators.":[199]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
