Title: Adaptive High-Order Quantum Computation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the development of an adaptive high-order quantum computation framework designed to accelerate complex computations through the strategic utilization of quantum entanglement and dynamic parameter adjustment. Traditional quantum algorithms often struggle to achieve high-order solutions, presenting a significant challenge for computationally demanding problems. This research proposes a novel approach that dynamically adjusts quantum computation parameters to optimize performance, offering a promising solution for tackling intricate challenges. The core mechanism centers around a self-optimizing quantum algorithm, enabling efficient execution of intricate calculations. This work explores the potential of this framework to address complex problems across various scientific and engineering domains.

DOI: 10.5281/zenodo.22291655

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