Algorithmic Quantum Phase-Shift (AQP)

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the potential of Algorithmic Quantum Phase-Shift (AQP) – a novel quantum algorithm designed to dynamically adjust the phase shift of quantum states, facilitating efficient exploration of complex quantum systems. Traditional quantum algorithms often rely on fixed, pre-determined phase shifts, limiting their ability to adapt to evolving quantum states. AQP proposes a framework for iterative phase manipulation, offering a pathway towards fundamentally new approaches to quantum system design and optimization. We detail the core mechanism of the algorithm, outlining its iterative process and the resulting benefits in terms of pattern discovery and task optimization. The paper explores potential applications across diverse quantum computing paradigms, highlighting the advantages over existing techniques. This work presents a foundational contribution to the field of quantum algorithm design and aims to provide a roadmap for future research in dynamic quantum state manipulation.

DOI: 10.5281/zenodo.22264959

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