{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:46:00Z","timestamp":1761129960676,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,5]],"date-time":"2021-12-05T00:00:00Z","timestamp":1638662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,5]]},"DOI":"10.1109\/dac18074.2021.9586190","type":"proceedings-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T23:30:34Z","timestamp":1636414234000},"page":"1352-1355","source":"Crossref","is-referenced-by-count":11,"title":["Invited: Trainable Discrete Feature Embeddings for Quantum Machine Learning"],"prefix":"10.1109","author":[{"given":"Napat","family":"Thumwanit","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chayaphol","family":"Lortaraprasert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rudy","family":"Raymond","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Circuit-centric quantum classifiers","year":"2018","author":"schuld","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.122.040504"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.98.032309"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/QCE49297.2020.00012"},{"journal-title":"Quantum embeddings for machine learning","year":"2020","author":"lloyd","key":"ref14"},{"journal-title":"UCI Machine Learning Repository","year":"2017","author":"dua","key":"ref15"},{"journal-title":"Titanic dataset","year":"2017","author":"frank","key":"ref16"},{"key":"ref17","article-title":"Mnist handwritten digit database","volume":"2","author":"lecun","year":"2010","journal-title":"ATT Labs"},{"journal-title":"Classification with quantum neural networks on near term processors","year":"2018","author":"farhi","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/581771.581773"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.22331\/q-2018-08-06-79"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nphys3029"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/18\/2\/023023"},{"journal-title":"Demonstration of quantum volume 64 on a superconducting quantum computing system","year":"2020","author":"jurcevic","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-0980-2"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1038\/nature23879","article-title":"Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets","volume":"549","author":"kandala","year":"2017","journal-title":"Nature"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.103.150502"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/1557690.1557758"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature23474"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.95.052315"},{"key":"ref21","article-title":"Constructions of quantum random access codes","author":"imamichi","year":"2018","journal-title":"Asian Quantum Information Symposium (AQIS)"}],"event":{"name":"2021 58th ACM\/IEEE Design Automation Conference (DAC)","start":{"date-parts":[[2021,12,5]]},"location":"San Francisco, CA, USA","end":{"date-parts":[[2021,12,9]]}},"container-title":["2021 58th ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9585997\/9586083\/09586190.pdf?arnumber=9586190","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:53Z","timestamp":1652201753000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9586190\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,5]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/dac18074.2021.9586190","relation":{},"subject":[],"published":{"date-parts":[[2021,12,5]]}}}