Physical Models and Quantum Simulation: A Joint Optimization Framework

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the integration of physical models and quantum simulations as a synergistic approach to accelerate the design and optimization of complex systems. The core claim is the development of a novel joint optimization framework that leverages quantum simulations to refine physical model parameters and utilizes optimization algorithms to dynamically adjust these parameters. This approach aims to overcome limitations in traditional optimization techniques when dealing with computationally intensive problems requiring both detailed physical modeling and quantum insights. The paper details the design of the framework, explores its potential benefits, and discusses ongoing research directions. The goal is to provide a robust and efficient method for tackling challenges in diverse fields, including materials science, drug discovery, and molecular dynamics simulations.

DOI: 10.5281/zenodo.22184789

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