{"id":"https://openalex.org/W2911458970","doi":"https://doi.org/10.1109/itw44776.2019.8989133","title":"Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix","display_name":"Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2911458970","doi":"https://doi.org/10.1109/itw44776.2019.8989133","mag":"2911458970"},"language":"en","primary_location":{"id":"doi:10.1109/itw44776.2019.8989133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw44776.2019.8989133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1901.07535","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032303909","display_name":"Chaitanya Chinni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaitanya Chinni","raw_affiliation_strings":["YNOS Venture Engine CC Pvt. Ltd.,Chennai,India,600113"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"YNOS Venture Engine CC Pvt. Ltd.,Chennai,India,600113","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086167433","display_name":"Abhishek Kulkarni","orcid":"https://orcid.org/0000-0001-9180-9689"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Kulkami","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024985133","display_name":"Dheeraj M. Pai","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dheeraj MPai","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006862080","display_name":"Kaushik Mitra","orcid":"https://orcid.org/0000-0001-6747-9050"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kaushik Mitra","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032279327","display_name":"Pradeep Kiran Sarvepalli","orcid":"https://orcid.org/0000-0001-8047-6946"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradeep K Sarvepalli","raw_affiliation_strings":["Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Department of Electrical Engineering,Chennai,India,600036","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9969000220298767,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/decoding-methods","display_name":"Decoding methods","score":0.6413495540618896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6247884035110474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5577709674835205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5437681674957275},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.43814533948898315},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3978644013404846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2841467261314392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24003568291664124}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6413495540618896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6247884035110474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5577709674835205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5437681674957275},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.43814533948898315},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3978644013404846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2841467261314392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24003568291664124},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/itw44776.2019.8989133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw44776.2019.8989133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1901.07535","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.07535","pdf_url":"https://arxiv.org/pdf/1901.07535","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2911458970","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1901.07535","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1901.07535","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1901.07535","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1901.07535","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.07535","pdf_url":"https://arxiv.org/pdf/1901.07535","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322211","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2911458970.pdf","grobid_xml":"https://content.openalex.org/works/W2911458970.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1569595324","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1873332500","https://openalex.org/W1990843814","https://openalex.org/W2012700932","https://openalex.org/W2013754283","https://openalex.org/W2046753312","https://openalex.org/W2084409213","https://openalex.org/W2099059040","https://openalex.org/W2135273380","https://openalex.org/W2147590609","https://openalex.org/W2156387975","https://openalex.org/W2161336914","https://openalex.org/W2163605009","https://openalex.org/W2296073425","https://openalex.org/W2533940598","https://openalex.org/W2584943905","https://openalex.org/W2611652092","https://openalex.org/W2618159897","https://openalex.org/W2620286290","https://openalex.org/W2766144762","https://openalex.org/W2783433785","https://openalex.org/W2785472174","https://openalex.org/W2787955889","https://openalex.org/W2789161290","https://openalex.org/W2796204221","https://openalex.org/W2901383498","https://openalex.org/W2902202439","https://openalex.org/W2963408536","https://openalex.org/W2964070430","https://openalex.org/W2964121744","https://openalex.org/W3006565975","https://openalex.org/W3095735246","https://openalex.org/W3098550391","https://openalex.org/W3099189920","https://openalex.org/W3099658160","https://openalex.org/W3102951387","https://openalex.org/W3103860344","https://openalex.org/W3122984058","https://openalex.org/W6747943895","https://openalex.org/W6748290808","https://openalex.org/W6756514421","https://openalex.org/W6756662753","https://openalex.org/W6763996078","https://openalex.org/W6784791644","https://openalex.org/W6784831541","https://openalex.org/W6785232132","https://openalex.org/W6785930213"],"related_works":["https://openalex.org/W3006565975","https://openalex.org/W2666368276","https://openalex.org/W3103860344","https://openalex.org/W3098276096","https://openalex.org/W2860469798","https://openalex.org/W2611652092","https://openalex.org/W3197582083","https://openalex.org/W3049038845","https://openalex.org/W1763070547","https://openalex.org/W1909826856","https://openalex.org/W2145487138","https://openalex.org/W3102951387","https://openalex.org/W3099658160","https://openalex.org/W2787955889","https://openalex.org/W2620286290","https://openalex.org/W2618159897","https://openalex.org/W2533940598","https://openalex.org/W2122414545","https://openalex.org/W2936697624","https://openalex.org/W1875212612"],"abstract_inverted_index":{"Recent":[0],"developments":[1],"in":[2,18,50,58],"the":[3,51,82,111,142,171],"field":[4],"of":[5,48,53,77,114,135,170,180],"deep":[6],"learning":[7],"have":[8,40],"motivated":[9],"many":[10,37],"researchers":[11,39],"to":[12,16,44,63,141,165,178],"apply":[13],"these":[14],"methods":[15],"problems":[17,49],"quantum":[19,149],"information.":[20],"Torlai":[21],"and":[22,168],"Melko":[23],"first":[24],"proposed":[25,68],"a":[26,46,69,93,124,133],"decoder":[27,71,97,131,147,160],"for":[28,85,87,102,117,148,173],"surface":[29],"codes":[30],"based":[31],"on":[32,123,145],"neural":[33,42,73,96,146],"networks.":[34,74],"Since":[35],"then,":[36],"other":[38],"applied":[41],"networks":[43],"study":[45],"variety":[47],"context":[52],"decoding.":[54],"An":[55],"important":[56],"development":[57],"this":[59],"regard":[60],"was":[61],"due":[62],"Varsamopoulos":[64],"et":[65,79,154,182],"at.":[66,80,155,183],"who":[67],"two-step":[70,95],"using":[72,98],"Subsequent":[75],"work":[76,144],"Maskara":[78,153,181],"used":[81],"same":[83],"concept":[84],"decoding":[86],"various":[88],"noise":[89,121],"models.":[90],"We":[91,106],"propose":[92],"similar":[94],"inverse":[99],"parity-check":[100],"matrix":[101],"topological":[103],"color":[104,127],"codes.":[105],"show":[107],"that":[108,158,179],"it":[109],"outperforms":[110],"state-of-the-art":[112],"performance":[113],"non-neural":[115],"decoders":[116],"independent":[118],"Pauli":[119],"errors":[120],"model":[122],"2D":[125],"hexagonal":[126],"code.":[128],"Our":[129,137],"final":[130],"achieves":[132],"threshold":[134],"10%.":[136],"result":[138],"is":[139],"comparable":[140],"recent":[143],"error":[150],"correction":[151],"by":[152],"It":[156],"appears":[157],"our":[159],"has":[161],"advantages":[162],"with":[163],"respect":[164],"training":[166],"cost":[167],"complexity":[169],"network":[172],"higher":[174],"distances":[175],"when":[176],"compared":[177]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}