{"id":"https://openalex.org/W4402386067","doi":"https://doi.org/10.48550/arxiv.2408.04751","title":"Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers","display_name":"Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4402386067","doi":"https://doi.org/10.48550/arxiv.2408.04751"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2408.04751","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.04751","pdf_url":"https://arxiv.org/pdf/2408.04751","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.04751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111321042","display_name":"Navid Roshani","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Roshani, Navid","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028010997","display_name":"Jonas Stein","orcid":"https://orcid.org/0000-0001-5727-9151"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stein, Jonas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083875469","display_name":"Maximilian Zorn","orcid":"https://orcid.org/0009-0006-2750-7495"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zorn, Maximilian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049855435","display_name":"Michael K\u00f6lle","orcid":"https://orcid.org/0000-0002-8472-9944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00f6lle, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065647323","display_name":"Philipp J. Altmann","orcid":"https://orcid.org/0000-0003-1134-176X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Altmann, Philipp","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064469861","display_name":"Claudia Linnhoff\u2010Popien","orcid":"https://orcid.org/0000-0001-6284-9286"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linnhoff-Popien, Claudia","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111321042"],"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9970999956130981,"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":0.9970999956130981,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.942300021648407,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/hamiltonian","display_name":"Hamiltonian (control theory)","score":0.6145561933517456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5274099111557007},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5188801884651184},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5054075717926025},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.47532275319099426},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.4254888892173767},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40601855516433716},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3704224228858948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3237673044204712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26389962434768677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26207441091537476},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17140358686447144},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.16425853967666626}],"concepts":[{"id":"https://openalex.org/C130787639","wikidata":"https://www.wikidata.org/wiki/Q5645293","display_name":"Hamiltonian (control theory)","level":2,"score":0.6145561933517456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5274099111557007},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5188801884651184},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5054075717926025},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.47532275319099426},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.4254888892173767},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40601855516433716},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3704224228858948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3237673044204712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26389962434768677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26207441091537476},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17140358686447144},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.16425853967666626},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2408.04751","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.04751","pdf_url":"https://arxiv.org/pdf/2408.04751","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2408.04751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2408.04751","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":"pmh:oai:arXiv.org:2408.04751","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.04751","pdf_url":"https://arxiv.org/pdf/2408.04751","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4402386067.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611","https://openalex.org/W2996078371"],"abstract_inverted_index":{"A":[0],"central":[1],"challenge":[2],"in":[3,19,144],"quantum":[4,14,66],"machine":[5],"learning":[6,156],"is":[7,39],"the":[8,28,40,48,81,92,122,138,145,152],"design":[9],"and":[10,61,114,116,137],"training":[11,64,134],"of":[12,30,42,50,54,94,119,165],"parameterized":[13],"circuits":[15],"(PQCs).":[16],"Much":[17],"like":[18],"deep":[20],"learning,":[21],"vanishing":[22,159],"gradients":[23,160],"pose":[24],"significant":[25],"obstacles":[26],"to":[27],"trainability":[29],"PQCs,":[31],"arising":[32],"from":[33,86],"various":[34],"sources.":[35],"One":[36],"such":[37],"source":[38],"presence":[41],"non-local":[43],"loss":[44,70,82],"functions,":[45,71],"which":[46],"require":[47],"measurement":[49],"a":[51,105,109,162],"large":[52,163],"subset":[53],"qubits":[55],"involved.":[56],"To":[57,89],"address":[58],"this":[59],"issue":[60],"facilitate":[62],"parameter":[63,133],"for":[65,148,154,161],"applications":[67],"using":[68],"global":[69],"we":[72,97],"propose":[73],"Sequential":[74],"Hamiltonian":[75],"Assembly":[76],"(SHA).":[77],"SHA":[78,120,130],"iteratively":[79],"approximates":[80],"by":[83,103,135,142],"assembling":[84],"it":[85],"local":[87],"components.":[88],"further":[90],"demonstrate":[91],"feasibility":[93],"our":[95,99],"approach,":[96],"extend":[98],"previous":[100],"case":[101],"study":[102],"introducing":[104],"new":[106,110],"partitioning":[107],"strategy,":[108],"merger":[111],"between":[112],"QAOA":[113],"SHA,":[115],"an":[117],"evaluation":[118],"onto":[121],"Max-Cut":[123],"optimization":[124],"problem.":[125],"Simulation":[126],"results":[127],"show":[128],"that":[129],"outperforms":[131],"conventional":[132],"43.89%":[136],"empirical":[139],"state-of-the-art,":[140],"Layer-VQE":[141],"29.08%":[143],"mean":[146],"accuracy":[147],"Max-Cut.":[149],"This":[150],"paves":[151],"way":[153],"locality-aware":[155],"techniques,":[157],"mitigating":[158],"class":[164],"practically":[166],"relevant":[167],"problems.":[168]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
