Dynamic Probability Distribution Quantum Entanglement Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers a unique pathway for computation beyond the capabilities of classical computers. This paper investigates a novel quantum entanglement algorithm utilizing dynamically adjusted probability distributions to facilitate complex calculations. We present a design framework that leverages the inherent properties of entangled states to drastically enhance computational efficiency. The core mechanism centers around a dynamically evolving probability matrix, which adjusts based on the input data, enabling a flexible and scalable approach to quantum problem-solving. This research explores the potential of this algorithm to overcome limitations of traditional quantum computation, particularly in the realm of complex data processing and simulation. The paper concludes with a discussion of the algorithm's performance, potential applications, and future research directions.

DOI: 10.5281/zenodo.22183553

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