Topological Phase Transition and Geometrical Frustration in Fourier Photonic Simulator
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914165931638784 |
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| author | Sun, Yuxuan Fan, Weiru Xu, Xingqi Wang, Da-Wei Lin, Hai-Qing |
| author_facet | Sun, Yuxuan Fan, Weiru Xu, Xingqi Wang, Da-Wei Lin, Hai-Qing |
| contents | XY models with continuous spin orientation play a pivotal role in understanding topological phase transitions and emergent frustration phenomena, such as superconducting and superfluid phase transitions. However, the complex energy landscapes arising from frustrated lattice geometries and competing spin interactions make these models computationally intractable. To address this challenge, we design a programmable photonic spin simulator capable of emulating XY models with tunable lattice geometries and spin couplings, allowing systematic exploration of their statistical behavior. We experimentally observe the Berezinskii-Kosterlitz-Thouless (BKT) transition in a square-lattice XY model with nearest-neighbor interactions, accurately determining its critical temperature. Expanding to frustrated systems, we implement the approach in triangular and honeycomb lattices, uncovering sophisticated phase transitions and frustration effects, which are consistent with theoretical predictions. This versatile platform opens avenues for probing unexplored XY model phenomena across diverse geometries and interaction schemes, with potential applications in solving complex optimization and machine learning problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_24363 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Topological Phase Transition and Geometrical Frustration in Fourier Photonic Simulator Sun, Yuxuan Fan, Weiru Xu, Xingqi Wang, Da-Wei Lin, Hai-Qing Optics Disordered Systems and Neural Networks XY models with continuous spin orientation play a pivotal role in understanding topological phase transitions and emergent frustration phenomena, such as superconducting and superfluid phase transitions. However, the complex energy landscapes arising from frustrated lattice geometries and competing spin interactions make these models computationally intractable. To address this challenge, we design a programmable photonic spin simulator capable of emulating XY models with tunable lattice geometries and spin couplings, allowing systematic exploration of their statistical behavior. We experimentally observe the Berezinskii-Kosterlitz-Thouless (BKT) transition in a square-lattice XY model with nearest-neighbor interactions, accurately determining its critical temperature. Expanding to frustrated systems, we implement the approach in triangular and honeycomb lattices, uncovering sophisticated phase transitions and frustration effects, which are consistent with theoretical predictions. This versatile platform opens avenues for probing unexplored XY model phenomena across diverse geometries and interaction schemes, with potential applications in solving complex optimization and machine learning problems. |
| title | Topological Phase Transition and Geometrical Frustration in Fourier Photonic Simulator |
| topic | Optics Disordered Systems and Neural Networks |
| url | https://arxiv.org/abs/2503.24363 |