Dynamic Parameter Adjustment of Quantum Entanglement-Based Computation

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel computational approach utilizing dynamic parameter adjustment based on quantum entanglement. Traditional computational methods are often static, leading to potential errors. This work proposes a method that leverages quantum entanglement to automatically adjust calculation parameters, thereby enhancing computational efficiency. The core mechanism involves exploiting the correlated states of entangled particles to dynamically modify the computation's trajectory, mitigating the effects of inherent errors. This innovation offers a significant advancement in computational performance compared to existing static methods.

DOI: 10.5281/zenodo.22152699

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