Jack Hidary

According to our database, Jack Hidary authored at least 11 papers between 2018 and 2022.

Collaborative distances:

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

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

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

Theory III: Dynamics and Generalization in Deep Networks.

Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio

CoRR, 2019

Quantum Computing: An Applied Approach

Jack Hidary

Springer, ISBN: 978-3-030-23921-3, 2019

2018

A Surprising Linear Relationship Predicts Test Performance in Deep Networks.

Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio

CoRR, 2018

Theory IIIb: Generalization in Deep Networks.

Tomaso A. Poggio, Qianli Liao, Brando Miranda, Andrzej Banburski, Xavier Boix, Jack Hidary

CoRR, 2018

Theory of Deep Learning III: explaining the non-overfitting puzzle.

Tomaso A. Poggio, Kenji Kawaguchi, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Xavier Boix, Jack Hidary, Hrushikesh N. Mhaskar

CoRR, 2018