Title: Adaptive Optimization Framework for Quantum Algorithms

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces an adaptive optimization framework for quantum algorithms, designed to dynamically adjust quantum bit arrangements to enhance algorithm efficiency and accuracy. The framework leverages the unique properties of quantum systems to automatically optimize qubit configurations. Traditional optimization methods often rely on manual parameter adjustments, which lacks the adaptability required for complex quantum algorithms. This novel approach utilizes a concept of "quantum qubit arrangement" to intelligently adjust qubit states, resulting in improved performance across a range of quantum computations. The proposed framework offers a significant advancement over existing techniques, providing a more robust and efficient approach to quantum algorithm optimization.

DOI: 10.5281/zenodo.22325912

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