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We present an algorithm for supervised learning using tensor networks, employing a step of preprocessing the data by coarse-graining through a sequence of wavelet transformations.
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Quantum criticality with the multi-scale entanglement renormalization ansatz
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I. Glasser, N. Pancotti, and J. I. Cirac · 2018
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Unsupervised generative modeling using matrix product states
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