arxivcs.LGquant-ph2026-07-07
Low-Overhead Error-Corrected QCNNs Using Bivariate Bicycle Codes
Alejandro Rosales, Animesh Yadav
Quantum convolutional neural networks (QCNNs) combine the power of quantum computing and classical CNN for computational speedup in classification tasks. However, noise levels on state-of-the-art quantum devices remain too high for practical QCNN execution. In addition, despite t…