# Matrix Product State–Based Quantum Classifier

@article{Bhatia2019MatrixPS, title={Matrix Product State–Based Quantum Classifier}, author={Amandeep Singh Bhatia and Mandeep Kaur Saggi and Ajay Kumar and Sushma Jain}, journal={Neural Computation}, year={2019}, volume={31}, pages={1499-1517} }

Interest in quantum computing has increased significantly. Tensor network theory has become increasingly popular and widely used to simulate strongly entangled correlated systems. Matrix product state (MPS) is a well-designed class of tensor network states that plays an important role in processing quantum information. In this letter, we show that MPS, as a one-dimensional array of tensors, can be used to classify classical and quantum data. We have performed binary classification of the…

## 22 Citations

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