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    Neural Network Improves Quantum Tomography

    Article obtained from Photonics RSS Feed.

    Scientists at Skolkovo Institute of Science and Technology (Skoltech) have applied machine learning to the challenges of reconstructing quantum states. Their findings show that machine learning can reconstruct quantum states from experimental data even in the presence of noise and detection errors.

    Members of Skoltech’s Deep Quantum Laboratory collaborated with the quantum optics research laboratories at Moscow State University (MSU) on the research.

    The theoretical beam is the goal scientists wished to achieve. Courtesy of “Experimental neural network enhanced quantum tomography,” A. Palmieri et al., https://doi.org/10.1038/s41534-020-0248-6.
    To prepare and measure high-dimensional quantum states, the MSU…

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    Feb, 13 2020 |

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