Quantum Entanglement Probability Distribution Modeling and Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement is a fundamental phenomenon in quantum mechanics, possessing immense potential for revolutionizing computation and communication. However, harnessing this potential requires precise control over the entangled states. This paper explores the modeling and optimization of quantum entanglement probability distributions, proposing a novel framework that integrates these distributions with optimization algorithms to enhance quantum computer design and efficiency. The core claim is to establish a mathematical model for quantum entanglement probability distributions and design an optimization algorithm that leverages these distributions to guide the optimization process of quantum circuit design. The research aims to address current limitations in modeling and optimization, offering a pathway toward more efficient and controllable quantum algorithms.

DOI: 10.5281/zenodo.22302404

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