A scalable and fast artificial neural network syndrome decoder for surface codes
A scalable and fast artificial neural network syndrome decoder for surface codes
Surface code error correction offers a highly promising pathway to achieve scalable fault-tolerant quantum computing. When operated as stabilizer codes, surface code computations consist of a syndrome decoding step where measured stabilizer operators are used to determine appropriate corrections for errors in physical qubits. Decoding algorithms have undergone substantial development, …