{"id":"https://openalex.org/W7143371898","doi":"https://doi.org/10.48550/arxiv.2603.26595","title":"PQuantML: A Tool for End-to-End Hardware-aware Model Compression","display_name":"PQuantML: A Tool for End-to-End Hardware-aware Model Compression","publication_year":2026,"publication_date":"2026-03-27","ids":{"openalex":"https://openalex.org/W7143371898","doi":"https://doi.org/10.48550/arxiv.2603.26595"},"language":"en","primary_location":{"id":"pmh:oai:cds.cern.ch:2958022","is_oa":false,"landing_page_url":"http://cds.cern.ch/record/2958022","pdf_url":null,"source":{"id":"https://openalex.org/S4306402195","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":null},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.26595","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130938245","display_name":"Roope Niemi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niemi, Roope","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126562287","display_name":"Anastasiia Petrovych","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petrovych, Anastasiia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411439","display_name":"Asim Kumar Das","orcid":"https://orcid.org/0009-0004-4164-6649"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Arghya Ranjan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130935086","display_name":"Enrico Lupi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lupi, Enrico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130982137","display_name":"Chang Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Chang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130962745","display_name":"Dimitrios Danopoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Danopoulos, Dimitrios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120896655","display_name":"Marlon Joshua Helbing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Helbing, Marlon Joshua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130940362","display_name":"Mia Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Mia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130933020","display_name":"Sebastian Dittmeier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dittmeier, Sebastian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130918459","display_name":"Michael Kagan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kagan, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130941108","display_name":"Vladimir Loncar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Loncar, Vladimir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130961161","display_name":"Maurizio Pierini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pierini, Maurizio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.12120000272989273,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.12120000272989273,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.09709999710321426,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy 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/T11044","display_name":"Particle Detector Development and Performance","score":0.07850000262260437,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy 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/pruning","display_name":"Pruning","score":0.6255999803543091},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5583000183105469},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5552999973297119},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5184999704360962},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4970000088214874},{"id":"https://openalex.org/keywords/hourglass","display_name":"Hourglass","score":0.39430001378059387},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.3395000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041000127792358},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6255999803543091},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4970000088214874},{"id":"https://openalex.org/C127532173","wikidata":"https://www.wikidata.org/wiki/Q179904","display_name":"Hourglass","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3815000057220459},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3395000100135803},{"id":"https://openalex.org/C99679407","wikidata":"https://www.wikidata.org/wiki/Q56761637","display_name":"Substructure","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.28459998965263367},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2777999937534332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26829999685287476},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:cds.cern.ch:2958022","is_oa":false,"landing_page_url":"http://cds.cern.ch/record/2958022","pdf_url":null,"source":{"id":"https://openalex.org/S4306402195","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":null},{"id":"doi:10.48550/arxiv.2603.26595","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26595","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.26595","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.26595","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"PQuantML":[0,29,70,99],"is":[1,112],"a":[2,37],"new":[3],"open-source,":[4],"hardware-aware":[5],"neural":[6],"network":[7],"model":[8],"compression":[9,111],"library":[10,50],"tailored":[11],"to":[12,19,23,40,87],"end-to-end":[13],"workflows.":[14],"Motivated":[15],"by":[16,35],"the":[17,76],"need":[18],"deploy":[20],"performant":[21],"models":[22,34],"environments":[24],"with":[25,55,63,96],"strict":[26],"latency":[27],"constraints,":[28],"simplifies":[30],"training":[31],"of":[32],"compressed":[33],"providing":[36],"unified":[38],"interface":[39],"apply":[41],"pruning":[42,53,94],"and":[43,103,121],"quantization,":[44,98],"either":[45],"jointly":[46],"or":[47],"individually.":[48],"The":[49,109],"implements":[51],"multiple":[52],"methods":[54,95],"different":[56],"granularities,":[57],"as":[58,60,75,119],"well":[59],"fixed-point":[61,97],"quantization":[62],"support":[64],"for":[65],"High-Granularity":[66],"Quantization.":[67],"We":[68],"evaluate":[69],"on":[71],"representative":[72],"tasks":[73],"such":[74,118],"jet":[77,81],"substructure":[78],"classification,":[79],"so-called":[80],"tagging,":[82],"an":[83],"on-edge":[84],"problem":[85],"related":[86],"real-time":[88],"LHC":[89],"data":[90],"processing.":[91],"Using":[92],"various":[93],"achieves":[100],"substantial":[101],"parameter":[102],"bit-width":[104],"reductions":[105],"while":[106],"maintaining":[107],"accuracy.":[108],"resulting":[110],"further":[113],"compared":[114],"against":[115],"existing":[116],"tools,":[117],"QKeras":[120],"HGQ.":[122]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-31T00:00:00"}
