TensorNetwork: A Library for Physics and Machine Learning. - Chase Roberts; Ashley Milsted; Martin Ganahl; Adam Zalcman; Bruce Fontaine; Yijian Zou; Jack Hidary; Guifre Vidal; Stefan Leichenauer (CoRR, 2019)

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks. - Ashley Milsted; Martin Ganahl; Stefan Leichenauer; Jack Hidary; Guifre Vidal (CoRR, 2019)

TensorNetwork for Machine Learning. - Stavros Efthymiou; Jack Hidary; Stefan Leichenauer (CoRR, 2019)

Quantum Graph Neural Networks. - Guillaume Verdon; Trevor McCourt; Enxhell Luzhnica; Vikash Singh; Stefan Leichenauer; Jack Hidary (CoRR, 2019)

Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm. - Guillaume Verdon; Jacob Marks; Sasha Nanda; Stefan Leichenauer; Jack Hidary (CoRR, 2019)

Anomaly Detection with Tensor Networks. - Jinhui Wang; Chase Roberts; Guifre Vidal; Stefan Leichenauer (CoRR, 2020)

Entanglement and Tensor Networks for Supervised Image Classification. - John Martyn; Guifre Vidal; Chase Roberts; Stefan Leichenauer (CoRR, 2020)

Transitioning organizations to post-quantum cryptography. - David Joseph; Rafael Misoczki; Marc Manzano; Joe Tricot; Fernando Dominguez Pinuaga; Olivier Lacombe; Stefan Leichenauer; Jack Hidary; Phil Venables; Royal Hansen (Nat., 2022)

Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry. - Oliver Knitter; Dan Zhao; James Stokes; Martin Ganahl; Stefan Leichenauer; Shravan K. Veerapaneni (CoRR, 2024)

Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry. - Oliver Knitter; Dan Zhao; James Stokes; Martin Ganahl; Stefan Leichenauer; Shravan K. Veerapaneni (Mach. Learn. Sci. Technol., 2025)