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Dynamic Multi-Body Simulation

Jincheng Zhang

Published Aug 31, 2026• 0 citations
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Abstract

This paper introduces a novel dynamic multi-body simulation technique leveraging quantum computing to efficiently model and simulate complex systems exhibiting dynamic evolution. Traditional multi-body simulation methods rely on static models, limiting their ability to accurately represent complex dynamics. Quantum computing offers the potential for dramatically accelerated computation, making this approach a promising avenue for simulating intricate systems with enhanced fidelity and speed. This work details the core mechanism of the proposed method, focusing on quantum-enhanced simulations of multi-body interactions and their subsequent dynamic behavior. The paper concludes with a discussion of the advantages and challenges of this approach, highlighting its potential for advancing scientific understanding across diverse fields.

DOI
10.5281/zenodo.22195499

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This paper presents a novel probabilistic quantum simulation method designed to accurately model dynamic behavior of complex molecular and material systems, particularly those incorporating quantum effects and multi-body interactions. Traditional quantum simulation methods often suffer from computational limitations and struggle with the intricacies of multi-particle systems. This research introduces a method leveraging probabilistic logic to reduce simulation time and improve fidelity. The core mechanism involves integrating quantum mechanics with probabilistic logic to establish a robust and efficient representation of system states, thereby mitigating the challenges associated with complex simulations. The development of this approach offers a promising pathway to overcome existing limitations in quantum simulation, particularly for systems exhibiting quantum phenomena and intricate multi-body dynamics.
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