Quantum State Dynamic Parameterization: A Novel Approach to Computational Efficiency and Precision

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel computational framework centered around quantum state dynamics, aiming to significantly enhance the efficiency and precision of computations. Traditional computational graph design relies heavily on static parameter settings, which often struggles to effectively represent and manage complex systems exhibiting dynamic properties. Our proposed method leverages quantum state manipulation to dynamically adjust parameters, fostering an iterative optimization process that yields superior results. The core mechanism involves constructing a dynamic computational graph, where the state of individual quantum elements undergoes continuous adjustment based on a predefined algorithm. This adaptive approach directly addresses the limitations of static graph designs by offering a more flexible and responsive system. The implementation details and preliminary results demonstrate substantial improvements in computational speed and accuracy across a range of benchmark problems.

DOI: 10.5281/zenodo.22592701

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