Distributed Simulation of Physical Systems using Quantum Simulation Algorithms

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper explores the potential of utilizing quantum simulation algorithms to achieve distributed simulation of complex physical systems. The core concept involves breaking down computationally intensive simulations—such as fluid dynamics or molecular interactions—into smaller, manageable subproblems solvable on multiple quantum processors. These subproblem solutions are then integrated through quantum communication protocols. The research investigates the theoretical framework for such an approach, focusing on algorithm design, communication strategies, and the challenges associated with achieving efficient distributed simulation. This work demonstrates a practical application of quantum computing for large-scale simulation tasks, offering a novel methodology for tackling problems currently intractable for classical computers. We detail the key considerations for designing a robust and scalable distributed simulation system, including error mitigation techniques and the impact of quantum communication fidelity on overall simulation accuracy.

DOI: 10.5281/zenodo.22137632

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