Machine Learning-based Quantum Error Mitigation for Variational Algorithms

Nikita Korolev, Kirill Lakhmanskiy, Daniil Rabinovich

Machine Learning-based quantum error mitigation (ML-QEM) has emerged as a promising approach for improving the performance of noisy quantum algorithms. However, existing ML-QEM met…