hongyehu/Machine_Learning_Quantum_State_Tomography
An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
This project helps quantum physicists and researchers reconstruct unknown quantum states from experimental measurement data. By inputting the results of POVM (Positive Operator-Valued Measure) experiments, it uses generative machine learning models to infer the underlying quantum state. This is useful for analyzing quantum systems and validating experimental setups.
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Use this if you are a quantum physicist or researcher needing to reconstruct quantum states from a large number of POVM measurement outcomes, especially for multi-qubit systems.
Not ideal if you need to perform quantum state tomography using methods other than generative models with POVM measurements, or if you prefer a TensorFlow-based solution.
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37
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Language
Python
License
MIT
Category
Last pushed
Jan 13, 2021
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