Dynamic Topology for Quantum Algorithm Design - Adaptive Node Placement
Jincheng Zhang
Abstract
This paper presents a novel dynamic topology algorithm for quantum algorithm design, focusing on adaptive node placement to optimize circuit performance. Traditional quantum circuit design relies heavily on handcrafted topologies, often leading to suboptimal results. This research introduces a self-tuning mechanism that continuously adjusts the connectivity of a quantum circuit based on the anticipated outcomes of a specific quantum algorithm. The core of the system utilizes a feedback loop that evaluates the circuit's performance through a series of simulated runs, and adjusts the topology to minimize error and maximize fidelity. We demonstrate the effectiveness of this approach through a series of simulations, showcasing significant improvements in circuit fidelity and reduced error rates compared to static topology design.