Title: Topology-Inspired Quantum Simulation of Complex Systems

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper explores the application of topology-inspired quantum simulation techniques to accelerate and enhance the simulation of complex systems. The core claim is to develop a method for simplifying the representation of systems through topological properties, thereby reducing computational costs and improving the accuracy of simulations. We propose a novel approach that utilizes topological invariants to guide the representation of the system's state space, enabling efficient exploration of the system's dynamics. This work presents a framework for dynamically adapting the representation based on topological constraints, offering a potential paradigm shift in the field of quantum simulation. The development of this method has the potential to significantly broaden the applicability of quantum simulations to complex systems, addressing limitations associated with traditional methods.

DOI: 10.5281/zenodo.22253747

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