70 citations · 97 across the 3 of their papers we have counts for
3 papers
quant-ph2020★ 9 cited
Entanglement and Tensor Networks for Supervised Image Classification
John Martyn, Guifre Vidal, Chase Roberts +1
Tensor networks, originally designed to address computational problems in quantum many-body physics, have recently been applied to machine learning tasks. However, compared to quan…
cs.LG2020★ 18 cited
Anomaly Detection with Tensor Networks
Jinhui Wang, Chase Roberts, Guifre Vidal +1
Originating from condensed matter physics, tensor networks are compact representations of high-dimensional tensors. In this paper, the prowess of tensor networks is demonstrated on…
physics.comp-ph2019★ 70 cited
TensorNetwork: A Library for Physics and Machine Learning
Chase Roberts, Ashley Milsted, Martin Ganahl +6
TensorNetwork is an open source library for implementing tensor network algorithms. Tensor networks are sparse data structures originally designed for simulating quantum many-body…