Machine Learning-based Quantum Error Mitigation for Variational Algorithms

arXiv:2606.02697v1 Announce Type: new Abstract: 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 methods often have restricted applicability to variational circuits and re