70 citations · 348 across the 10 of their papers we have counts for
6 papers · 1 filter
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
Guillaume Verdon, Jacob Marks, Sasha Nanda +2
We introduce a new class of generative quantum-neural-network-based models called Quantum Hamiltonian-Based Models (QHBMs). In doing so, we establish a paradigmatic approach for qu…
Quantum Graph Neural Networks
Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica +3
We introduce Quantum Graph Neural Networks (QGNN), a new class of quantum neural network ansatze which are tailored to represent quantum processes which have a graph structure, and…
TensorNetwork on TensorFlow: Entanglement Renormalization for quantum critical lattice models
Martin Ganahl, Ashley Milsted, Stefan Leichenauer +2
We use TensorNetwork [C. Roberts et al., arXiv: 1905.01330], a recently developed API for performing tensor network contractions using accelerated backends such as TensorFlow, to i…
TensorNetwork for Machine Learning
Stavros Efthymiou, Jack Hidary, Stefan Leichenauer
We demonstrate the use of tensor networks for image classification with the TensorNetwork open source library. We explain in detail the encoding of image data into a matrix product…
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks
Ashley Milsted, Martin Ganahl, Stefan Leichenauer +2
TensorNetwork is an open source library for implementing tensor network algorithms in TensorFlow. We describe a tree tensor network (TTN) algorithm for approximating the ground sta…
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…