Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schr\"odinger Equation

📰 ArXiv cs.AI

Physics-Informed Evolution is a framework that combines evolutionary algorithms with physical laws to solve quantum control problems involving the Schr"odinger Equation

advanced Published 27 Mar 2026
Action Steps
  1. Combine physical laws with evolutionary algorithms to create a physics-informed evolutionary framework
  2. Apply this framework to solve quantum control problems involving the Schr"odinger Equation
  3. Use the framework to optimize objective functions by simulating natural selection processes
  4. Evaluate the performance of the framework in solving quantum control problems
Who Needs to Know This

Researchers and engineers working on quantum control problems, particularly those with a background in physics and machine learning, can benefit from this framework as it enhances efficiency and physical consistency of solutions

Key Insight

💡 Embedding physical laws into evolutionary algorithms can enhance efficiency and physical consistency of solutions

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🔍 Physics-Informed Evolution: a new framework for solving quantum control problems with evolutionary algorithms #quantumcontrol #physicsinformed
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