SciPost: Topic details

Publications

Tensor network study of the Shastry-Sutherland model with weak interlayer coupling
by Patrick C. G. Vlaar, Philippe Corboz,
SciPost Phys. 15, 126 (2023)
Time dependent variational principle for tree Tensor Networks
by Daniel Bauernfeind, Markus Aichhorn,
SciPost Phys. 8, 024 (2020)
Sparse sampling and tensor network representation of two-particle Green's functions
by Hiroshi Shinaoka, Dominique Geffroy, Markus Wallerberger, Junya Otsuki, Kazuyoshi Yoshimi, Emanuel Gull, Jan Kuneš,
SciPost Phys. 8, 012 (2020)
Gauss law, minimal coupling and fermionic PEPS for lattice gauge theories
by Patrick Emonts, Erez Zohar,
SciPost Phys. Lect. Notes 12 (2020)
Automatic contraction of unstructured tensor networks
by Adam S. Jermyn,
SciPost Phys. 8, 005 (2020)
Fast counting with tensor networks
by Stefanos Kourtis, Claudio Chamon, Eduardo R. Mucciolo, Andrei E. Ruckenstein,
SciPost Phys. 7, 060 (2019)

Submissions (unpublished only)

Compactness of quantics tensor train representations of local imaginary-time propagators
by Haruto Takahashi, Rihito Sakurai, Hiroshi Shinaoka
(submitted 2024-09-19 to SciPost Physics)
Tensor Network Python (TeNPy) version 1
by Johannes Hauschild, Jakob Unfried, Sajant Anand, Bartholomew Andrews, Marcus Bintz, Umberto Borla, Stefan Divic, Markus Drescher, Jan Geiger, Martin Hefel, Kévin Hémery, Wilhelm Kadow, Jack Kemp, Nico Kirchner, Vincent S. Liu, Gunnar Möller, Daniel Parker, Michael Rader, Anton Romen, Samuel Scalet, Leon Schoonderwoerd, Maximilian Schulz, Tomohiro Soejima, Philipp Thoma, Yantao Wu, Philip Zechmann, Ludwig Zweng, Roger S. K. Mong, Michael P. Zaletel, Frank Pollmann
(submitted 2024-08-30 to SciPost Physics Codebases)
Learning tensor networks with tensor cross interpolation: new algorithms and libraries
by Yuriel Núñez Fernández, Marc K. Ritter, Matthieu Jeannin, Jheng-Wei Li, Thomas Kloss, Thibaud Louvet, Satoshi Terasaki, Olivier Parcollet, Jan von Delft, Hiroshi Shinaoka, Xavier Waintal
(submitted 2024-07-23 to SciPost Physics)
Learning tensor trains from noisy functions with application to quantum simulation
by Kohtaroh Sakaue, Hiroshi Shinaoka, Rihito Sakurai
(submitted 2024-05-23 to SciPost Physics)

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