Jincheng Zhang
Jincheng Zhang
Abstract
Quantum simulation, a cornerstone of modern scientific research, relies heavily on the accurate representation of quantum systems. Traditional simulation methods often struggle with inherent noise and limited computational resources. This paper proposes a novel quantum algorithm, termed "Adaptive Topological Quantum Algorithm" (ATQA), designed to address these challenges by leveraging the principles of self-organized topology in quantum systems. We explore the potential of this approach to significantly enhance the precision and efficiency of quantum simulations, particularly within the context of optimization problems. This work presents a framework that dynamically adjusts quantum parameters to optimize the simulation process, offering a fundamentally different perspective on quantum algorithm design.