{"id":"https://openalex.org/W7220929085","doi":"https://doi.org/10.1103/c4wq-ztc9","title":"Symmetry-adapted eigensolver from real-space sampling of tensor-network-bridged quantum circuits","display_name":"Symmetry-adapted eigensolver from real-space sampling of tensor-network-bridged quantum circuits","publication_year":2026,"publication_date":"2026-10-08","ids":{"openalex":"https://openalex.org/W7220929085","doi":"https://doi.org/10.1103/c4wq-ztc9"},"language":"en","primary_location":{"id":"doi:10.1103/c4wq-ztc9","doi":"https://doi.org/10.1103/c4wq-ztc9","is_oa":false,"landing_page_url":"https://doi.org/10.1103/c4wq-ztc9","pdf_url":null,"source":{"id":"https://openalex.org/S4210237713","display_name":"Physical review. B./Physical review. B","issn_l":"2469-9950","issn":["2469-9950","2469-9969","2469-9977"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-a","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320261","host_organization_name":"American Physical Society","host_organization_lineage":["https://openalex.org/P4310320261"],"host_organization_lineage_names":["American Physical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physical Review B","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.19219","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160132463","display_name":"Lei Xu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5160116031","display_name":"Ling Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Wang","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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6348761,"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":false,"primary_topic":{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.9315999746322632,"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":0.9315999746322632,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.05739999935030937,"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/T10037","display_name":"Physics of Superconductivity and Magnetism","score":0.002899999963119626,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matrix-product-states","display_name":"matrix product states","score":0.828000009059906},{"id":"https://openalex.org/keywords/tensor-networks","display_name":"tensor networks","score":0.6150000095367432},{"id":"https://openalex.org/keywords/strongly-correlated-systems","display_name":"strongly correlated systems","score":0.8050000071525574},{"id":"https://openalex.org/keywords/symmetry-classes","display_name":"symmetry classes","score":0.44999998807907104},{"id":"https://openalex.org/keywords/variational-wavefunctions","display_name":"variational wave functions","score":0.5839999914169312},{"id":"https://openalex.org/keywords/entanglement","display_name":"entanglement","score":0.5289999842643738},{"id":"https://openalex.org/keywords/global-correlation","display_name":"global correlation","score":0.4300000071525574},{"id":"https://openalex.org/keywords/unbiased-sampling","display_name":"unbiased sampling","score":0.30799999833106995}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5133000016212463},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5004000067710876},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4390000104904175},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.43050000071525574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37880000472068787},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.3743000030517578},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3528999984264374},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.32249999046325684},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.30489999055862427},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.2786000072956085},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2612999975681305},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1103/c4wq-ztc9","doi":"https://doi.org/10.1103/c4wq-ztc9","is_oa":false,"landing_page_url":"https://doi.org/10.1103/c4wq-ztc9","pdf_url":null,"source":{"id":"https://openalex.org/S4210237713","display_name":"Physical review. B./Physical review. B","issn_l":"2469-9950","issn":["2469-9950","2469-9969","2469-9977"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-a","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320261","host_organization_name":"American Physical Society","host_organization_lineage":["https://openalex.org/P4310320261"],"host_organization_lineage_names":["American Physical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physical Review B","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2510.19219","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2510.19219","pdf_url":"https://arxiv.org/pdf/2510.19219","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":"doi:10.48550/arxiv.2510.19219","doi":"https://doi.org/10.48550/arxiv.2510.19219","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.19219","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":"pmh:oai:arXiv.org:2510.19219","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2510.19219","pdf_url":"https://arxiv.org/pdf/2510.19219","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4693400835","display_name":null,"funder_award_id":"12374150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220929085.pdf","grobid_xml":"https://content.openalex.org/works/W7220929085.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W1570334424"],"related_works":["https://openalex.org/W3140220006","https://openalex.org/W6885137868","https://openalex.org/W6981371511","https://openalex.org/W7206814600","https://openalex.org/W7043622383","https://openalex.org/W6903766968","https://openalex.org/W2786884009","https://openalex.org/W7171720557","https://openalex.org/W7221089626","https://openalex.org/W7167049807"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,39,61,84,186,201],"symmetry-adapted":[3,85],"eigensolver":[4],"for":[5],"strongly":[6],"correlated":[7],"systems":[8],"that":[9,181,216],"separates":[10],"where":[11,18],"the":[12,33,46,91,97,101,106,122,134,140,145,150,154,157,173,178,205,208,217],"wave":[13],"function":[14],"is":[15,20,24,81,96,119,131,148,166,199],"\\emph{sampled}":[16],"from":[17,66,121,156],"it":[19],"\\emph{defined}.":[21],"The":[22,52,77,128],"lattice":[23],"divided":[25],"into":[26],"equal":[27],"blocks:":[28],"parallel":[29],"quantum":[30],"circuits":[31],"absorb":[32],"entanglement":[34,215],"within":[35,185],"each":[36],"block,":[37,72],"while":[38],"matrix":[40],"product":[41],"state":[42,79],"(MPS)":[43],"backbone":[44],"bridges":[45],"blocks":[47],"and":[48,138],"restores":[49],"global":[50],"correlations.":[51],"resulting":[53],"real-space":[54,158],"amplitude":[55,125],"$\u03d5(a_{\\rm":[56,126],"real})$":[57],"acts":[58],"only":[59,179],"as":[60],"sample":[62,169],"generator---configurations":[63],"are":[64,188],"drawn":[65],"$|\u03d5(a_{\\rm":[67],"real})|^2$":[68],"directly,":[69],"block":[70],"by":[71,87,153],"without":[73],"any":[74],"Markov":[75],"chain.":[76],"variational":[78],"itself":[80],"defined":[82],"in":[83,144,190],"basis":[86,147],"two":[88],"separate":[89],"rules:":[90],"modulus":[92,129],"of":[93,100,170,204],"$\u03c8(a_{\\rm":[94],"symm})$":[95,142],"square":[98],"root":[99],"total":[102],"weight":[103],"accumulated":[104],"over":[105],"entire":[107],"equivalence":[108],"class,":[109],"$\\widetilde{p}(a_{\\rm":[110],"symm})=\\sum_{a_{\\rm":[111],"real}\\in\\{g":[112],"a_{\\rm":[113],"repr}\\}}|\u03d5(a_{\\rm":[114],"real})|^2$,":[115],"whereas":[116],"its":[117],"phase":[118,174],"inherited":[120],"single":[123],"representative":[124],"repr})$.":[127],"rule":[130,175],"what":[132],"makes":[133],"scheme":[135],"both":[136],"exact":[137],"cheap:":[139],"distribution$\\widetilde{p}(a_{\\rm":[141],"sampled":[143],"symmetric":[146],"exactly":[149],"one":[151],"induced":[152],"mapping":[155],"distribution":[159],"$p(a_{\\rm":[160],"real})$,":[161],"so":[162],"every":[163],"generated":[164],"configuration":[165],"an":[167],"unbiased":[168],"$|\u03c8(a_{\\rm":[171],"symm})|^2$;":[172],"then":[176],"fixes":[177],"freedom":[180],"remains.":[182],"Because":[183],"amplitudes":[184],"class":[187],"combined":[189],"probability":[191],"rather":[192],"than":[193],"summed":[194],"with":[195],"symmetry":[196],"characters,":[197],"$\u03c8$":[198],"\\emph{not}":[200],"group":[202],"projection":[203],"circuit-MPS":[206],"state;":[207],"class-wide":[209],"aggregation":[210],"instead":[211],"supplies":[212],"long-range,":[213],"symmetry-enforced":[214],"MPS":[218],"never":[219],"has":[220],"to":[221],"carry":[222],"itself.":[223]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-09T00:00:00"}