Physical Science and Quantum Computing Adaptive Simulation Algorithm
Jincheng Zhang
Abstract
This paper introduces an adaptive simulation algorithm designed to enhance the accuracy and efficiency of physical simulations, leveraging the combined strengths of physics and quantum computing. The core mechanism centers around a "Physics Adaptive Simulation" system, which dynamically adjusts simulation parameters based on the algorithm's output, ensuring a more precise and robust model. Traditional physical simulation methods rely on manual parameter tuning, which is often time-consuming and requires expert knowledge. This algorithm automates this process, leading to improved simulation capabilities. The paper details the algorithm's design, implementation, and preliminary results, demonstrating its potential to revolutionize the field of physical simulation.