Algorithmic Simulation of Quantum Decoherence Dynamics

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents an algorithmic simulation framework for modeling quantum decoherence dynamics. Decoherence, a fundamental process in quantum mechanics, arises from interactions with the surrounding environment, causing a loss of quantum information. This research focuses on creating a dynamic simulation model that captures the complex interplay of environmental noise and quantum fluctuations, enabling the prediction of decoherence rates and identification of critical factors influencing this behavior. The simulation employs a system of differential equations to model the collapse of quantum states, providing a robust and potentially predictive tool for understanding and quantifying decoherence phenomena. The core mechanism involves simulating the collapse of quantum states over time, incorporating environmental noise and quantum fluctuations to represent the probabilistic nature of decoherence.

DOI: 10.5281/zenodo.22204357

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