Scalable Quantum-Inspired Simulation of Complex Physical Systems

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel approach to simulating complex physical systems using a quantum-inspired classical algorithm. The core idea leverages the fundamental principles of quantum simulation – superposition and interference – within a scalable classical framework. Unlike traditional simulation methods, this algorithm aims to achieve efficiency by mimicking the probabilistic nature and computational advantages associated with quantum systems. We detail the algorithm's architecture, mathematical formulation, and demonstrate its potential for tackling computationally intensive simulations across various fields. The key contribution lies in the development of a scalable method that bridges the gap between quantum simulation and classical computation, offering a practical alternative for simulating systems where quantum computers remain inaccessible or impractical. The algorithm's performance is analyzed, focusing on its scalability and the trade-offs involved in achieving accuracy. Ultimately, this research explores a promising avenue for advancing simulation capabilities using a classically-inspired, quantum-aware strategy.

DOI: 10.5281/zenodo.22442543

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