Title: Modular Quantum Error Correction with Adaptive Resonance Networks
Jincheng Zhang
Abstract
Quantum computing promises revolutionary computational capabilities, but the inherent fragility of quantum systems necessitates robust error correction techniques. Traditional error correction codes, while effective, often rely on fixed parameters, limiting scalability and introducing vulnerabilities. This paper proposes a novel modular quantum error correction scheme utilizing Adaptive Resonance Networks (ARNs) to dynamically adjust the error correction rate based on the specific error profile of a quantum system. This approach addresses the instability inherent in current codes, offering a potential pathway toward more robust and scalable error mitigation.