Exploring the Phase Diagram of the quantum one-dimensional ANNNI model
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866910334823956480 |
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| author | Cea, M. Grossi, M. Monaco, S. Rico, E. Tagliacozzo, L. Vallecorsa, S. |
| author_facet | Cea, M. Grossi, M. Monaco, S. Rico, E. Tagliacozzo, L. Vallecorsa, S. |
| contents | In this manuscript, we explore the intersection of QML and TN in the context of the one-dimensional ANNNI model with a transverse field. The study aims to concretely connect QML and TN by combining them in various stages of algorithm construction, focusing on phase diagram reconstruction for the ANNNI model, with supervised and unsupervised techniques. The model's significance lies in its representation of quantum fluctuations and frustrated exchange interactions, making it a paradigm for studying magnetic ordering, frustration, and the presence of a floating phase. It concludes with discussions of the results, including insights from increased system sizes and considerations for future work, such as addressing limitations in QCNN and exploring more realistic implementations of QC. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_11022 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring the Phase Diagram of the quantum one-dimensional ANNNI model Cea, M. Grossi, M. Monaco, S. Rico, E. Tagliacozzo, L. Vallecorsa, S. Strongly Correlated Electrons Disordered Systems and Neural Networks Statistical Mechanics Quantum Physics In this manuscript, we explore the intersection of QML and TN in the context of the one-dimensional ANNNI model with a transverse field. The study aims to concretely connect QML and TN by combining them in various stages of algorithm construction, focusing on phase diagram reconstruction for the ANNNI model, with supervised and unsupervised techniques. The model's significance lies in its representation of quantum fluctuations and frustrated exchange interactions, making it a paradigm for studying magnetic ordering, frustration, and the presence of a floating phase. It concludes with discussions of the results, including insights from increased system sizes and considerations for future work, such as addressing limitations in QCNN and exploring more realistic implementations of QC. |
| title | Exploring the Phase Diagram of the quantum one-dimensional ANNNI model |
| topic | Strongly Correlated Electrons Disordered Systems and Neural Networks Statistical Mechanics Quantum Physics |
| url | https://arxiv.org/abs/2402.11022 |