Stefan Leichenauer

According to our database, Stefan Leichenauer authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Retentive neural quantum states: efficient ansätze for <i>ab initio</i> quantum chemistry.

Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan K. Veerapaneni

Mach. Learn. Sci. Technol., 2025

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

CoRR, 2024

2022

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

2020

Entanglement and Tensor Networks for Supervised Image Classification.

John Martyn, Guifre Vidal, Chase Roberts, Stefan Leichenauer

CoRR, 2020

Anomaly Detection with Tensor Networks.

Jinhui Wang, Chase Roberts, Guifre Vidal, Stefan Leichenauer

CoRR, 2020

2019

Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm.

Guillaume Verdon, Jacob Marks, Sasha Nanda, Stefan Leichenauer, Jack Hidary

CoRR, 2019

Quantum Graph Neural Networks.

Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica, Vikash Singh, Stefan Leichenauer, Jack Hidary

CoRR, 2019

TensorNetwork for Machine Learning.

Stavros Efthymiou, Jack Hidary, 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: 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