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Machine Learning-Enhanced Quantum State Tomography with Direct Parameter Estimations
會議論文集

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, …
16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024
2024
Web of Science ID: WOS:001532172700278

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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url
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206389093&doi=10.1109%2fCLEO-PR60912.2024.10676693&partnerID=40&md5=a8dddb5569ea2f56bdba5f4a93419f44檢視

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1 檢視次數

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