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Title: Quantum Simulation of Complex Time-Dependent Systems

Jincheng Zhang

Published Sep 6, 2026• 0 citations
Publisher

Abstract

Quantum simulation of complex time-dependent systems presents a significant challenge in computational science. Classical methods often struggle to accurately represent the intricate dynamics of these systems, particularly when quantum effects are dominant. This paper explores a novel quantum simulation technique, leveraging the inherent advantages of quantum computation to achieve unprecedented accuracy in the simulation of such systems. We propose a modified Trotterization algorithm coupled with a novel quantum state representation to address limitations inherent in existing approaches. The core claim is to develop a method capable of capturing the evolution of complex time-dependent systems with enhanced fidelity compared to existing classical and hybrid simulation techniques. This research will focus on demonstrating the technique's potential to accurately simulate various systems, including those exhibiting strong quantum entanglement and non-linear dynamics. The results will provide a fundamental step towards more reliable simulations of complex physical systems.

DOI
10.5281/zenodo.22481970

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Quantum simulation offers unprecedented capabilities for modeling complex systems, particularly those exhibiting non-Markovian dynamics. Traditional methods often struggle with the inherent complexities of non-Markovian systems, requiring significant computational resources and potentially inaccurate results. This paper proposes a novel quantum simulation technique centered around the entanglement of observables, aiming to overcome these limitations by embracing a fundamentally different approach to system dynamics. The core claim is to develop a quantum simulation method capable of accurately modeling non-Markovian processes by leveraging the enhanced power of entangled observations. We detail the mechanism, explore the theoretical framework, and present initial experimental explorations demonstrating the technique's potential for improved fidelity in simulating complex quantum systems.
This paper presents a novel deterministic quantum simulation method designed to accurately model complex non-equilibrium systems, offering a significant advancement over existing approaches. The core claim is the creation of a technique capable of simulating these systems with a guaranteed level of fidelity, facilitating a deeper understanding of their dynamics. This method leverages a time-evolving simulation, dynamically adjusting simulation parameters based on the system's state, addressing a major limitation in current quantum simulation – stability challenges. The research explores and validates the effectiveness of this technique through a series of simulations of various non-equilibrium systems, demonstrating improved accuracy and robustness compared to traditional methods. We provide a detailed explanation of the core mechanism and discuss the potential implications for various scientific disciplines.
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