A Machine Learning-Based Approach for Mitigating Noise Errors in Quantum Software Development on IBM's Quantum Computers
A practical machine learning-based approach called Q-LEAR, with a novel feature set, can effectively mitigate noise errors in the outputs of quantum software executing on IBM's quantum computers.
