Dynamic Adaptive Quantum Computing (DAQF)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum computing offers the potential for unprecedented computational power, but its practical implementation faces significant challenges related to algorithm design, error correction, and computational resource management. This paper proposes a novel quantum computing framework, Dynamic Adaptive Quantum Computing (DAQF), designed to address these challenges by dynamically adjusting quantum computation parameters based on the inherent characteristics of the quantum process itself. We demonstrate the effectiveness of DAQF through a series of simulations and analyses, showcasing its capacity to enhance both computational efficiency and accuracy compared to static parameter settings. The core mechanism of DAQF involves a feedback loop that continuously monitors the quantum state and adjusts parameters to optimize the algorithm's performance. This paper offers a new approach to quantum computing, promising significant advancements in the design and operation of quantum algorithms.

DOI: 10.5281/zenodo.22525106

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