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Stochastic dynamics for quantum billiards: Bridging integrability, chaos, and freezing transitions
Iván R R González1,2, Antônio M S Macêdo3, Giovani L Vasconcelos4
1Universidad Mayor, School of Engineering, Faculty of Science, Engineering and Technology, Santiago 7500994, Chile.
We developed a new stochastic framework to understand how quantum billiards transition from regular to chaotic dynamics. Our model accurately describes this transition and predicts a plateau in level repulsion strength as chaos emerges.
Area of Science:
- Quantum chaos
- Statistical physics
- Complex systems
Background:
- Understanding the transition from regular to chaotic dynamics is crucial in quantum systems.
- Quantum billiards provide a valuable platform for studying this transition.
- Existing models often struggle to capture the full complexity of the crossover regime.
Purpose of the Study:
- To present a novel stochastic framework for describing the transition from regular to chaotic dynamics in quantum billiards.
- To develop analytic expressions for key statistical measures across different dynamical regimes.
- To investigate the emergence of non-Gaussian statistics and multiscale phenomena during this transition.
Main Methods:
- Incorporation of a background scale of fluctuations in level spacing evolution.
- Derivation of analytic expressions for nearest-neighbor spacing distribution and power spectral density.
- Comparison with numerical simulations for quantum limaçon and mushroom billiards.
Main Results:
- The framework accurately captures dynamics in integrable, chaotic, and mixed regimes.
- A plateau formation in level repulsion strength is predicted as chaos is approached.
- The model aligns with phenomena observed in many-body localization and Gaussian free fields.
Conclusions:
- The stochastic framework provides a reliable description of the order-to-chaos transition in quantum billiards.
- It offers a complementary perspective to microscopic methods.
- The approach is valuable for understanding emergent non-Gaussian statistics and multiscale phenomena.
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