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Found 2 papers, 2 papers with code
Classification and reconstruction of optical quantum states with deep neural networks
For pure states with additive or convolutional Gaussian noise, the QST-CGAN is able to adapt to the noise and reconstruct the underlying state.
Quantum State Tomography with Conditional Generative Adversarial Networks
We augment a CGAN with custom neural-network layers that enable conversion of output from any standard neural network into a physical density matrix.
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