Artificial Neural Network Syndrome Decoding on IBM Quantum Processors

Understand

Syndrome decoding is an integral but computationally demanding step in the implementation of quantum error correction for fault-tolerant quantum computing.

• Here, we report the development and benchmarking of Artificial Neural Network (ANN) decoding on IBM Quantum Processors.
• We demonstrate that ANNs can efficiently decode syndrome measurement data from heavy-hexagonal code architecture and apply appropriate corrections to facilitate error protection.
• The current physical error rates of IBM devices are above the code's threshold and restrict the scope of our ANN decoder for logical error rate suppression.