Dimensional Uncertainty Analysis
Jincheng Zhang
Abstract
This paper explores the application of quantum annealing as a method for dimensionality uncertainty analysis, specifically designed to assess the stability of complex physical systems. Traditional approaches often struggle with the intricate nature of multiple systems and states, necessitating innovative computational techniques. We propose a novel framework utilizing quantum annealing to bridge this gap, offering a new method for refining uncertainty estimates and ultimately improving the reliability of complex physical models. The core mechanism centers on a comparative analysis between the system's quantum state evolution and the predicted state, leveraging the quantum annealing's inherent ability to explore multiple solutions simultaneously. The paper details the architecture of the system, the algorithm's key steps, and preliminary results demonstrating the method's potential for enhanced uncertainty quantification. We conclude with a discussion of the challenges and future directions for this research.