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Research Staff

Christopher Roth, Ph.D.

Flatiron Research Fellow, Center for Computational Quantum Physics

Bio

Chris Roth joined the Flatiron Institute in 2023 after receiving a Ph.D. in physics from the University of Texas at Austin. His research involves developing neural network-based approaches for simulating strongly correlated quantum many-body problems. He contributes to the open-source library NetKet. Recently his work was nominated as Editors’ Choice by the journal Physical Review B.

Publications

Superconductivity in the two-dimensional Hubbard model revealed by neural quantum states

arXiv:2511.07566, November 10, 2025

C. Roth, A. Chen, A. Sengupta, and A. Georges

Simulating the Two-Dimensional \(t\text\(-\)J\) Model at Finite Doping with Neural Quantum States

Physical Review Letters, arXiv:2411.10430, September 24, 2025

Hannah Lange, Annika B\"ohler, C. Roth, and Annabelle Bohrdt"

Double descent: When do neural quantum states generalize?

arXiv:2508.00068, July 31, 2025

M. Schuyler Moss, Alev Orfi, C. Roth, Anirvan M. Sengupta, A. Georges, D. Sels, et al.

Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions

arXiv:2507.10705, July 14, 2025

A. Chen, Z. Wan, A. Sengupta, A. Georges, and C. Roth

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Center for Computational Quantum Physics

CCQ’s mission is to develop the concepts, theories, algorithms and codes needed to solve the quantum many-body problem and use the solutions to predict the behavior of materials and molecules of scientific and technological interest.

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