Graph neural networks that incorporate local hardware noise parameters as graph features enable quantum error mitigation with better scalability and lower error than traditional global regression methods on 10-16 qubit circuits.
Giurgica-Tironet al., Digital zero noise extrapolation for quantum error mitigation, in 2020 IEEE International Conference on Quantum Computing and Engineering (QCE)(IEEE, 2020)
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Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
Graph neural networks that incorporate local hardware noise parameters as graph features enable quantum error mitigation with better scalability and lower error than traditional global regression methods on 10-16 qubit circuits.