Dynamic Quantum Circuit Topology Optimization
Jincheng Zhang
Abstract
Dynamic Quantum Circuit Topology Optimization addresses the challenges of optimizing quantum circuits for enhanced performance and stability through adaptive circuit design. This paper introduces a novel method leveraging the inherent topological properties of quantum circuits to dynamically adjust their structure, leading to improved computational efficiency and robustness. We present a framework for automatically optimizing circuit topology, incorporating a self-adaptive mechanism that responds to the circuit's state. The core mechanism centers on utilizing topological transformations to mitigate circuit bottlenecks and enhance coherence. The study demonstrates the effectiveness of this approach in optimizing specific quantum algorithms, showcasing its potential for accelerating complex computations. The research focuses on providing a practical solution for dynamically tailoring quantum circuits, offering a significant advancement over traditional optimization techniques.