A Comparative Analysis of Quantum and Classical Approaches in the Optimization of Photonic Crystal Structures

Abstract

The advent of photonic crystals has revolutionized the design of optical devices, making their optimization critical for advancing photonics technology. This study utilizes both classical optimization techniques and quantum algorithms to evaluate their respective efficacies in designing photonic structures. Through extensive empirical testing, we demonstrate that quantum algorithms offer substantial improvements in optimization accuracy and computational efficiency, achieving error rates below 1% compared to 3% for classical methods. Additionally, we analyze the scalability of both approaches, addressing the significant reduction in convergence time with quantum models under varied parameter settings. The findings indicate a paradigm shift in design strategies for photonic devices, suggesting that quantum methodologies hold the potential to outperform traditional approaches significantly.