{"id":"https://openalex.org/W4404133790","doi":"https://doi.org/10.1145/3649329.3656245","title":"Combining Parameterized Pulses and Contextual Subspace for More Practical VQE","display_name":"Combining Parameterized Pulses and Contextual Subspace for More Practical VQE","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404133790","doi":"https://doi.org/10.1145/3649329.3656245"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3656245","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3649329.3656245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043067670","display_name":"Zhiding Liang","orcid":"https://orcid.org/0000-0002-7568-0165"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhiding Liang","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN, United States"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN, United States","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036087746","display_name":"Zhixin Song","orcid":"https://orcid.org/0000-0001-7708-4546"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhixin Song","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, United States"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107025262","display_name":"Jinglei Cheng","orcid":"https://orcid.org/0000-0001-9535-6672"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinglei Cheng","raw_affiliation_strings":["Purdue University, West Lafayette, IN, United States"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, United States","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091072136","display_name":"Hang Ren","orcid":"https://orcid.org/0000-0002-5544-8692"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Ren","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, United States"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, United States","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107225345","display_name":"Tianyi Hao","orcid":"https://orcid.org/0000-0003-4074-4971"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyi Hao","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, United States"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, United States","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100859237","display_name":"Rui Yang","orcid":"https://orcid.org/0000-0002-7843-5114"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000141831","display_name":"Yiyu Shi","orcid":"https://orcid.org/0000-0002-6788-9823"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyu Shi","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN, United States"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN, United States","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101509600","display_name":"Tongyang Li","orcid":"https://orcid.org/0000-0002-0338-413X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongyang Li","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5043067670"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":1.3969,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84015911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/parameterized-complexity","display_name":"Parameterized complexity","score":0.854629397392273},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7697211503982544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5339395403862},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2780304551124573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2702634930610657}],"concepts":[{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.854629397392273},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7697211503982544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5339395403862},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2780304551124573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2702634930610657}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649329.3656245","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3649329.3656245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1533625736","https://openalex.org/W1970354341","https://openalex.org/W2781738013","https://openalex.org/W3006479689","https://openalex.org/W3100931082","https://openalex.org/W3105602470","https://openalex.org/W3111162498","https://openalex.org/W3160066080","https://openalex.org/W3212169067","https://openalex.org/W4206745400"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"explore":[4],"the":[5,12,49,63,67,73,76,99,104,108],"integration":[6],"of":[7,18,48,75],"parameterized":[8,19],"quantum":[9,20,27,37,100],"pulses":[10,21,41],"with":[11,40,55],"contextual":[13,77],"subspace":[14],"method.":[15],"The":[16],"advent":[17],"marks":[22],"a":[23,30,56,90],"transition":[24],"from":[25],"traditional":[26,68],"gates":[28],"to":[29,36,44,61],"more":[31],"flexible":[32],"and":[33,83,106],"efficient":[34],"approach":[35],"computing.":[38],"Working":[39],"allows":[42],"us":[43],"potentially":[45],"access":[46],"areas":[47],"Hilbert":[50],"space":[51],"that":[52],"are":[53],"inaccessible":[54],"CNOT-based":[57],"circuit":[58],"decomposition.":[59],"Compared":[60],"solving":[62],"complete":[64],"Hamiltonian":[65],"via":[66],"Variational":[69],"Quantum":[70],"Eigensolver":[71],"(VQE),":[72],"computation":[74],"correction":[78],"generally":[79],"requires":[80],"fewer":[81],"qubits":[82],"measurements,":[84],"thus":[85],"improving":[86],"computational":[87],"efficiency.":[88],"Plus":[89],"Pauli":[91],"grouping":[92],"strategy,":[93],"our":[94],"framework,":[95],"SpacePulse,":[96],"can":[97],"minimize":[98],"resource":[101],"cost":[102],"for":[103,110],"VQE":[105],"enhance":[107],"potential":[109],"processing":[111],"larger":[112],"molecular":[113],"structures.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
