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Random Antiferromagnetic Chain
Abstract
The quantum spin-\textonehalf{} Heisenberg antiferromagnet in one dimension with randomly distributed coupling constants is solved approximately. Ground-state energies and low-temperature properties are obtained for several distributions of coupling constants (including both singular and nonsingular distributions). Power-law temperature dependence in specific heat and in susceptibility are found for all distributions studied.
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Citations
Cited by
Entanglement in many-body systems
Amico, L., Fazio, R., Osterloh, A., & Vedral, V. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.517 · Cited by 3,745
Gapless spin-fluid ground state in a random quantum Heisenberg magnet
Sachdev, S., & Ye, J. (1993) · Physical Review Letters · doi:10.1103/physrevlett.70.3339 · Cited by 1,910
Predicting many properties of a quantum system from very few measurements
Huang, H.-Y., Kueng, R., & Preskill, J. (2020) · Nature Physics · doi:10.1038/s41567-020-0932-7 · Cited by 1,240
Colloquium : Herbertsmithite and the search for the quantum spin liquid
Norman, M. R. (2016) · Reviews of Modern Physics · doi:10.1103/revmodphys.88.041002 · Cited by 580
Rare region effects at classical, quantum and nonequilibrium phase transitions
Vojta, T. (2006) · Journal of Physics A: Mathematical and General · doi:10.1088/0305-4470/39/22/r01 · Cited by 422
Metadata
- Authors
- Ma, S.-K., Dasgupta, C., & Hu, C.-K.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1979-11-05
- Volume
- 43
- Issue
- 19
- Pages
- 1434-1437
- ISSN
- 0031-9007 (ISSN-L)
- OpenAlex
- W2004482355
- Cited by
- 439
- References
- 0
- FWCI
- 6.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Random Antiferromagnetic Chain. https://app.cochat.ai/papers/10.1103/physrevlett.43.1434
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- Ma, S.-K., Dasgupta, C., & Hu, C.-K. (1979). Random Antiferromagnetic Chain. Physical Review Letters. https://doi.org/10.1103/physrevlett.43.1434
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
