Quantum Simulation of Dynamical Systems with Reduced Dimensionality

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum simulation of dynamical systems offers a promising approach to tackling complex problems in various fields, including physics, chemistry, and biology. However, simulating these systems often faces significant computational challenges due to the exponential scaling of traditional methods. This paper introduces a novel technique, quantum state tomography, for efficiently simulating dynamical systems with reduced dimensionality, addressing the computational bottleneck and enhancing feasibility. We demonstrate the technique's effectiveness through the simulation of a simplified, yet illustrative, example, showcasing improved accuracy and reduced computational cost compared to existing methods. This advancement holds the potential to unlock new possibilities in simulating complex systems and provides a foundation for future research in quantum simulation.

DOI: 10.5281/zenodo.22300583

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