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Found 5 papers, 2 papers with code
Entanglement and Tensor Networks for Supervised Image Classification
For that purpose, we propose a plausible candidate state $|\Sigma_{\ell}\rangle$ (built as a superposition of product states corresponding to images in the training set) and investigate its entanglement properties.
Anomaly Detection with Tensor Networks
Originating from condensed matter physics, tensor networks are compact representations of high-dimensional tensors.
TensorNetwork: A Library for Physics and Machine Learning
TensorNetwork is an open source library for implementing tensor network algorithms.
PennyLane: Automatic differentiation of hybrid quantum-classical computations
PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation.
Arbitrary Discrete Sequence Anomaly Detection with Zero Boundary LSTM
We propose a simple mathematical definition and new neural architecture for finding anomalies within discrete sequence datasets.
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