Extracting average properties of disordered spin chains with translationally invariant tensor networks
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913120662847488 |
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| author | Vervoort, Kevin Tang, Wei Bultinck, Nick |
| author_facet | Vervoort, Kevin Tang, Wei Bultinck, Nick |
| contents | We develop a tensor network-based method for calculating disorder-averaged expectation values in random spin chains without having to explicitly sample over disorder configurations. The algorithm exploits statistical translation invariance and works directly in the thermodynamic limit. We benchmark our method on the infinite-randomness critical point of the random transverse field Ising model. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_21089 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Extracting average properties of disordered spin chains with translationally invariant tensor networks Vervoort, Kevin Tang, Wei Bultinck, Nick Disordered Systems and Neural Networks Strongly Correlated Electrons Quantum Physics We develop a tensor network-based method for calculating disorder-averaged expectation values in random spin chains without having to explicitly sample over disorder configurations. The algorithm exploits statistical translation invariance and works directly in the thermodynamic limit. We benchmark our method on the infinite-randomness critical point of the random transverse field Ising model. |
| title | Extracting average properties of disordered spin chains with translationally invariant tensor networks |
| topic | Disordered Systems and Neural Networks Strongly Correlated Electrons Quantum Physics |
| url | https://arxiv.org/abs/2504.21089 |