Quantum Entanglement Computation Probability Distribution Modeling

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, holds immense potential for revolutionizing computation. This paper explores the development of a probabilistic distribution model for quantum entanglement computation, leveraging the unique properties of entangled states. We propose a novel framework that dynamically adjusts the probability distribution based on the evolving state of entangled qubits, ultimately aiming to enhance the precision of quantum calculations. This research addresses a critical challenge in quantum computing: accurately predicting and controlling the complex evolution of entangled states. The core claim is that this model provides a pathway to more efficient and robust quantum computations through a deep understanding of entanglement dynamics.

DOI: 10.5281/zenodo.22522461

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