Cons-training tensor networks: Embedding and optimization over discrete linear constraints
Javier Lopez-Piqueres, Jing Chen
SciPost Physics, June 2025
[paper] | [preprint] | [code]

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning
Javier Lopez-Piqueres, Pranav Deshpande, Archan Ray, Mattia J. Villani, Marco Pistoia, Niraj Kumar
Preprint, June 2025
[preprint]

Tensor Network Estimation of Distribution Algorithms
John Gardiner*, Javier Lopez-Piqueres*
Preprint, December 2024
[preprint]

Observing Quantum Measurement Collapse as a Learnability Phase Transition
Utkarsh Agrawal, Javier Lopez-Piqueres, Romain Vasseur, Sarang Gopalakrishnan, Andrew C. Potter
Phys. Rev. X, October 2024
[paper] | [preprint] | [code]

Symmetric tensor networks for generative modeling and constrained combinatorial optimization
Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo-Ortiz
Mach. Learn.: Sci. Technol., July 2023
[paper] | [preprint]

Integrability Breaking from Backscattering
Javier Lopez-Piqueres, Romain Vasseur
Phys. Rev. Lett., June 2023
[paper] | [preprint]

Integrability breaking in the Rule 54 cellular automaton
Javier Lopez-Piqueres, Sarang Gopalakrishnan, Romain Vasseur
J. Phys. A: Math. Theor., May 2022
[paper] | [preprint]

Operator front broadening in chaotic and integrable quantum chains
Javier Lopez-Piqueres, Brayden Ware, Sarang Gopalakrishnan, Romain Vasseur
Phys. Rev. B., September 2021
[paper] | [preprint]

Hydrodynamics of nonintegrable systems from a relaxation-time approximation
Javier Lopez-Piqueres, Brayden Ware, Sarang Gopalakrishnan, Romain Vasseur
Phys. Rev. B., February 2021
[paper] | [preprint]

Mean-field entanglement transitions in random tree tensor networks
Javier Lopez-Piqueres, Brayden Ware, Romain Vasseur
Phys. Rev. B., August 2020
[paper] | [preprint]

*Equal contribution