Quantum Error-correction Using Humming Sparrow Optimization Based Self-adaptive Deep Cnn Noise Correction Module

This article discusses the use of quantum error correction to mitigate the effects of noise on quantum states, specifically focusing on topological quantum error-correcting codes for superconducting qubits. The research proposes a deep learning-based decoder tailored for heavy hexagonal codes, incorporating a SADCNN module to identify and correct errors.