Dynamic Quantum Entropy Decoupling (DQA) - Dynamic Topology Parameter Adjustment

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel dynamic quantum entropy decoupling (DQA) algorithm designed to optimize quantum system performance by dynamically adjusting entropy parameters. Traditional quantum error correction relies on pre-determined, fixed entropy levels, which often struggle to adapt to evolving system states. The DQA algorithm dynamically adjusts these parameters based on input data, enabling a more flexible and responsive approach to quantum system optimization. We demonstrate the effectiveness of this approach through simulations and analysis, highlighting its potential to surpass existing error correction methods in specific scenarios. The core mechanism involves a continuous feedback loop that adapts the entropy distribution based on measured data, leading to improved fidelity and reduced noise.

DOI: 10.5281/zenodo.22290692

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