Quantum Entangled Matrix Dynamics and Simulation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement and quantum computation have revolutionized the landscape of quantum information processing. Traditional computational methods often struggle to adequately represent and simulate complex quantum states, limiting their practical applicability. This paper introduces a novel dynamic matrix computation and simulation framework based on quantum entanglement and quantum computing, aiming to accelerate the representation and analysis of quantum states. We propose a method leveraging entanglement to achieve efficient calculation and simulation of quantum matrices, offering a significant advancement over existing approaches. The core mechanism centers around the utilization of entanglement to facilitate rapid state exploration and manipulation, ultimately providing a pathway toward more efficient quantum algorithms. The resulting framework demonstrates enhanced computational capabilities and offers a promising strategy for quantum computing acceleration.

DOI: 10.5281/zenodo.22184910

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