Probability Space Quantum Algorithm (PSQA)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Probability Space Quantum Algorithm (PSQA) presents a novel approach to quantum algorithm design, centered on the utilization of quantum entanglement and superposition. The core principle of PSQA is to construct a probabilistic space model, leveraging these quantum phenomena to introduce novel computational pathways within existing quantum algorithms. This model enables optimization and acceleration of quantum algorithms, particularly for large-scale quantum computations. We propose a mechanism that integrates quantum entanglement and superposition into the algorithm's structure to facilitate information transfer and optimization, thereby significantly reducing the complexity of the required quantum circuits. This research explores the potential of PSQA to address longstanding challenges in quantum algorithm design, offering a promising pathway toward efficient and scalable quantum computation.

DOI: 10.5281/zenodo.22486069

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