Dynamically Generated Topology for Quantum Simulation
Jincheng Zhang
Abstract
Quantum simulation offers unprecedented capabilities for understanding and manipulating quantum systems, but accurately modeling complex quantum phenomena often requires intricate and computationally expensive topologies. This paper introduces a novel dynamic topology generation method for quantum simulation, aiming to overcome these limitations through adaptive algorithm refinement. We propose a self-correcting algorithm that iteratively adjusts the topology of the simulation space to maximize accuracy, achieving a significant improvement in simulation fidelity compared to traditional, static topology approaches. This research explores the potential of dynamically evolving topology in quantum simulation to unlock new levels of complexity and insight.