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Tom Westerhout

Tom Westerhout
Tel: (024) 36 52901
Office: HG03.065

Main project
:  Information theoretic approaches to quantum many-body theory
Methods: machine learning, tensor networks, Monte Carlo, exact diagonalization

Role of correlated hopping in the many-body physics of flat-band systems: Nagaoka ferromagnetism
T. Westerhout and M. I. Katsnelson
Phys. Rev. B 106, L041104 (2022)

Quantum dot-like plasmonic modes in twisted bilayer graphene supercells
T. Westerhout, M. I. Katsnelson, and M. Roesner
2D MATER, https://doi.org/10.1088/2053-1583/ac38ca (2021)

Kinetic samplers for neural quantum states
Andrey A. Bagrov, Askar A. Iliasov, and Tom Westerhout
Phys. Rev. B 104, 104407 (2021)

Broken-Symmetry Ground States of the Heisenberg Model on the Pyrochlore Lattice
Nikita Astrakhantsev, Tom Westerhout, Apoorv Tiwari, Kenny Choo, Ao Chen, Mark H. Fischer, Giuseppe Carleo, and Titus Neupert
Phys. Rev. X 11, 041021 (2021)

Lattice-symmetries: A package for working with quantum many-body bases
Tom Westerhout
JOSS - The Journal of Open Source Software (2021)

Generalization properties of neural network approximations to frustrated magnet ground states
Tom Westerhout, Nikita Astrakhantsev, Konstantin S. Tikhonov, Mikhail I. Katsnelson & Andrey A. Bagrov 
Nature Communications volume 11, 1593 (2020)

NetKet: A machine learning toolkit for many-body quantum systems
Giuseppe Carleo, Kenny Choo, Damian Hofmann, James E.T. Smith, Tom Westerhout, Fabien Alet, Emily J. Davis, Stavros Efthymiou, Ivan Glasser, Sheng Hsuan Lin, Marta Mauri, Guglielmo Mazzola, Christian B. Mendl, Evert van Nieuwenburg, Ossian O’Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek
SoftwareX volume 10, 100311 (2019)

Plasmon confinement in fractal quantum systems
Tom Westerhout, Edo van Veen, Mikhail I. Katsnelson, and Shengjun Yuan
Phys. Rev. B 97, 205434 (2018)