Dynamic Quantum Superposition: A Novel Algorithmic Approach for Adaptive Quantum Computation

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel algorithmic framework for dynamic quantum superposition, termed "Dynamic Quantum Superposition," designed to enhance the versatility and efficiency of quantum computation. The core principle of this approach lies in dynamically adjusting the underlying topology of quantum superposition states, allowing for a significantly more flexible and adaptive quantum system. We present a detailed description of the algorithm's mechanism, including the mathematical formulation of the transformation applied to the state vector, and demonstrate its effectiveness through theoretical analysis and preliminary experimental validation. This research explores the potential of this dynamic approach to overcome limitations of traditional quantum computation and pave the way for new computational paradigms. The algorithm's focus is on accelerating quantum computation by optimizing the state space.

DOI: 10.5281/zenodo.22247906

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