Adaptive quantum state tomography with neural networks

Abstract Current algorithms for quantum state tomography (QST) are costly both on the experimental front, requiring measurement of many copies of the state, and on the classical computational front, needing a long time to analyze the gathered data. Here, we introduce neural adaptive quantum state to...

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Bibliographic Details
Main Authors: Yihui Quek, Stanislav Fort, Hui Khoon Ng
Format: Article
Language:English
Published: Nature Portfolio 2021-06-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-021-00436-9