Quantum Simulator Based on Dynamic Quantum State Improvement
Jincheng Zhang
Abstract
Quantum simulation is a crucial tool for understanding complex systems, particularly in fields like materials science, drug discovery, and fundamental physics. Traditional quantum simulation methods often struggle with the limitations of static simulator configurations, hindering their ability to accurately capture intricate dynamics and non-linearities. This paper introduces a novel quantum simulator, 'Quantum Simulator Based on Dynamic Quantum State Improvement,' that addresses these limitations through a dynamic adjustment of quantum states. We propose a method for simulating complex systems by iteratively refining the quantum state, enabling improved accuracy, efficiency, and the ability to model non-linear properties inherent in these systems. The core mechanism leverages quantum entanglement and self-correlation to enhance the simulation's fidelity, and this approach offers a significant advancement over existing techniques.