Low-temperature states of the Ising ±J model on a square lattice
Author
Abstract
Suggested Citation
DOI: 10.1016/j.physa.2025.130729
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Perez-Morelo, D.J. & Ramirez-Pastor, A.J. & Romá, F., 2012. "Ground-state energy and entropy of the two-dimensional Edwards–Anderson spin-glass model with different bond distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 937-947.
- Rosas, Alexandre & Coutinho, Sérgio, 2004. "Random-field Ising model on hierarchical lattices: thermodynamics and ground-state critical properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(1), pages 115-142.
- Romá, F. & Risau-Gusman, S. & Ramirez-Pastor, A.J. & Nieto, F. & Vogel, E.E., 2009. "The ground state energy of the Edwards–Anderson spin glass model with a parallel tempering Monte Carlo algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2821-2838.
- Biswas, Katja, 2023. "Energy landscapes of spin glasses on triangular Archimedean lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 627(C).
- Changjun Fan & Mutian Shen & Zohar Nussinov & Zhong Liu & Yizhou Sun & Yang-Yu Liu, 2023. "Searching for spin glass ground states through deep reinforcement learning," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- R. G. Palmer & Joan Adler, 1999. "Ground States For Large Samples Of Two-Dimensional Ising Spin Glasses," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 667-675.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Changjun Fan & Mutian Shen & Zohar Nussinov & Zhong Liu & Yizhou Sun & Yang-Yu Liu, 2023. "Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture," Nature Communications, Nature, vol. 14(1), pages 1-4, December.
- Rocha-Neto, Mário J.G. & Camelo-Neto, G. & Nogueira Jr., E. & Coutinho, S., 2018. "The Blume–Capel model on hierarchical lattices: Exact local properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 559-573.
- Shuvro Chowdhury & Navid Anjum Aadit & Andrea Grimaldi & Eleonora Raimondo & Atharva Raut & P. Aaron Lott & Johan H. Mentink & Marek M. Rams & Federico Ricci-Tersenghi & Massimo Chiappini & Luke S. Th, 2025. "Pushing the boundary of quantum advantage in hard combinatorial optimization with probabilistic computers," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
- Stefan Boettcher, 2023. "Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture," Nature Communications, Nature, vol. 14(1), pages 1-3, December.
- Biswas, Katja & Katwal, Anil K., 2025. "Energy landscapes of spin models on the Snub Archimedean ( 32, 4, 3, 4) lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).
- Katwal, Anil K. & Biswas, Katja, 2026. "Energy landscapes of spin glasses on the dice lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 682(C).
- F. Liers & G. Pardella, 2012. "Partitioning planar graphs: a fast combinatorial approach for max-cut," Computational Optimization and Applications, Springer, vol. 51(1), pages 323-344, January.
- Abdelrahman S. Abdelrahman & Shuvro Chowdhury & Flaviano Morone & Kerem Y. Camsari, 2026. "Generalized Probabilistic Approximate Optimization Algorithm," Nature Communications, Nature, vol. 17(1), pages 1-11, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:674:y:2025:i:c:s0378437125003814. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/phsmap/v674y2025ics0378437125003814.html