Quantum State Learning via Single-Shot Measurements
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sang Min | - |
dc.contributor.author | Park, Hee Su | - |
dc.contributor.author | Lee, Jinhyoung | - |
dc.contributor.author | Kim, Jaewan | - |
dc.contributor.author | Bang, Jeongho | - |
dc.date.accessioned | 2022-07-06T22:31:19Z | - |
dc.date.available | 2022-07-06T22:31:19Z | - |
dc.date.created | 2021-07-14 | - |
dc.date.issued | 2021-04 | - |
dc.identifier.issn | 0031-9007 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142075 | - |
dc.description.abstract | A novel machine-learning algorithm based on single-shot measurements, named single-shot measurement learning, is demonstrated achieving the theoretical optimal accuracy. The method is at least as efficient as existing tomographic schemes and computationally much less demanding. The merits are attributed to the inclusion of weighted randomness in the learning rule governing the exploration of diverse learning routes. These advantages are explored experimentally by a linear-optical setup that is designed to draw the fullest potential of the proposed method. The experimental results show an unprecedented high level of accuracy for qubit-state learning and reproduction exhibiting (nearly) optimal infidelity scaling, O(N-0.983), for the number N of unknown state copies, down to < 10(-5) without any compensation for experimental nonidealities. Extension to high dimensions is discussed with simulation results. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | AMER PHYSICAL SOC | - |
dc.title | Quantum State Learning via Single-Shot Measurements | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jinhyoung | - |
dc.identifier.doi | 10.1103/PhysRevLett.126.170504 | - |
dc.identifier.scopusid | 2-s2.0-85105486256 | - |
dc.identifier.wosid | 000652837500004 | - |
dc.identifier.bibliographicCitation | PHYSICAL REVIEW LETTERS, v.126, no.17, pp.1 - 5 | - |
dc.relation.isPartOf | PHYSICAL REVIEW LETTERS | - |
dc.citation.title | PHYSICAL REVIEW LETTERS | - |
dc.citation.volume | 126 | - |
dc.citation.number | 17 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 5 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Physics, Multidisciplinary | - |
dc.subject.keywordPlus | TOMOGRAPHY | - |
dc.subject.keywordPlus | SCHEME | - |
dc.identifier.url | https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.170504 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.