Title: Adaptive Topological Quantum Probability Model

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces an adaptive topological quantum probability model designed to simulate quantum systems and explore the quantum computational advantages of probability. The core of this model lies in dynamically adjusting the model's parameters through an adaptive topology, allowing for a more nuanced and robust simulation of quantum phenomena. We present a novel method for constructing and utilizing this model, demonstrating its effectiveness in generating accurate quantum probabilities and providing a foundation for advanced quantum algorithms. This work contributes to the development of robust quantum simulation techniques, leveraging the power of adaptive topology to enhance the representation of quantum systems. The core mechanism hinges on the iterative refinement of the probability distribution based on the observed system dynamics, offering a significant improvement over static probability models.

DOI: 10.5281/zenodo.22203031

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