Quantum State Generator (QGS)

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum State Generator (QGS) presents a novel algorithmic approach to quantum computation, leveraging the power of quantum state generators to generate specific quantum states with enhanced probability distributions. This research explores the design and implementation of a QGS, focusing on its ability to improve quantum computation efficiency and resource utilization. The core mechanism centers around the creation of a dynamic quantum state generator that adapts to input parameters, enabling precise control over the generated quantum states. This approach directly addresses the limitations of traditional quantum computing by reducing the operational complexity and increasing the potential for effective quantum algorithms. The paper details the architecture of the QGS, including the quantum state generator's design and the subsequent probabilistic distribution algorithms. The resulting QGS demonstrates significant improvements in quantum computation performance through targeted probability refinement. This work provides a foundation for future advancements in quantum computing, offering a practical pathway towards achieving substantial gains in efficiency and scalability.

DOI: 10.5281/zenodo.22290622

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