Physics-Informed Neural Networks for Maximizing Quantum Fisher Information in Time-Dependent Many-Body Systems

Documenti analoghi

• Random Matrix Theory Approach to Quantum Fisher Information in Quantum Many-Body Systems
  di: Pavlov, Venelin P., et al.
  Pubblicazione: (2024)
• Quantum Fisher Information as a Measure of Symmetry Breaking in Quantum Many-Body Systems
  di: Yamashika, Shion, et al.
  Pubblicazione: (2025)
• Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems
  di: Qi, Zihao, et al.
  Pubblicazione: (2026)
• Renormalization-Inspired Effective Field Neural Networks for Scalable Modeling of Classical and Quantum Many-Body Systems
  di: Liu, Xi, et al.
  Pubblicazione: (2025)
• Simulating Quantum Many-Body States with Neural-Network Exponential Ansatz
  di: Zeng, Weillei, et al.
  Pubblicazione: (2024)