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Machine Learning-Enhanced Quantum State Tomography with Direct Parameter Estimations
H.-Y. Hsieh
,
Y.-R. Chen
,
J. Ning
,
H.-C. Wu
,
H.L. Chen
,
Z.-H. Shi
,
P.-H. Wang
,
P. Yang
,
O. Steuernagel
,
C.-M. Wu
, …
顯示11作者詳細資料
16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024
2024
DOI:
https://doi.org/10.1109/CLEO-PR60912.2024.10676693
Web of Science ID: WOS:001532172700278
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摘要
Characteristic model
Density matrix
Machine-learning
Parameters estimation
Performance
Quantum state tomography
Target parameter
Self-supervised learning
Instead of using the reconstruction model in training a truncated density matrix, we develop a high-performance, lightweight, and easy-to-install supervised characteristic model by generating the target parameters directly. © 2023 The Author(s)
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206389093&doi=10.1109%2fCLEO-PR60912.2024.10676693&partnerID=40&md5=a8dddb5569ea2f56bdba5f4a93419f44
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題名
Machine Learning-Enhanced Quantum State Tomography with Direct Parameter Estimations
創作者:
H.-Y. Hsieh - National Tsing Hua University
Y.-R. Chen - National Tsing Hua University
J. Ning - National Tsing Hua University
H.-C. Wu - National Tsing Hua University
H.L. Chen - National Tsing Hua University
Z.-H. Shi - National Tsing Hua University
P.-H. Wang - National Tsing Hua University
P. Yang - National Tsing Hua University
O. Steuernagel - National Tsing Hua University
C.-M. Wu - National Tsing Hua University
R.-K. Lee - National Tsing Hua University
出版者
Institute of Electrical and Electronics Engineers Inc.; NEW YORK
總頁數
2
學術資源類型
會議論文集
出版日期
2024
出版資訊
16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024
語言
英語
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206389093&doi=10.1109%2fCLEO-PR60912.2024.10676693&partnerID=40&md5=a8dddb5569ea2f56bdba5f4a93419f44
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