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Quantum Entanglement Computation: Adaptive Quantum Gate Design

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

Quantum entanglement offers a fundamentally unique approach to computation, potentially unlocking capabilities beyond the reach of classical algorithms. This paper explores the development of an adaptive quantum gate design based on quantum entanglement, aiming to enhance quantum computing performance through dynamic adjustment of gate parameters. We propose a novel algorithm utilizing the inherent adaptability of entangled states to mitigate the effects of environmental noise, leading to more efficient quantum computations. The core mechanism centers around a self-tuning quantum gate that responds to subtle variations in the quantum environment, iteratively optimizing gate parameters to achieve higher fidelity and reduced error rates. This research addresses a critical challenge in quantum computation – the need for robust and adaptable algorithms – by introducing a key innovation in quantum gate design. The investigation of this approach provides a pathway toward a new generation of quantum algorithms.

DOI
10.5281/zenodo.22315634

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