Title: Adaptive Quantum Circuit Design with Dynamic Resource Allocation
Jincheng Zhang
Abstract
Quantum circuit design presents a significant challenge in the field of quantum computing, demanding efficient and robust circuit layouts. Static circuit layouts are often limited by the inherent complexity of quantum systems and can hinder optimization for both fidelity and speed. This research explores a novel adaptive quantum circuit design approach utilizing dynamic resource allocation. We propose a system that dynamically allocates quantum resources (qubits, gates) during circuit construction, optimizing for both fidelity and speed. The proposed framework leverages a 'resource allocation scheduling' algorithm that intelligently manages resources based on problem complexity and current system state. This system aims to address a key bottleneck in quantum circuit design – moving beyond static layouts to adaptive resource allocation, potentially unlocking significant improvements in both circuit fidelity and computational speed. This work presents a complete theoretical and practical implementation of this approach, demonstrating its effectiveness through simulation and preliminary experimentation. The focus is on creating a system that can intelligently manage the resources required for quantum circuit construction, leading to more efficient and robust designs.