According to Franco Nori, "Machine learning can play a pivotal role in addressing large-scale quantum computation and optimization challenges.

Scientists are evaluating machine-learning models using transfer learning principles.

Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...

Once the machine learning model predicts that the error value in a quantum circuit exceeds a predetermined threshold, WiMi's MLQES system triggers a circuit segmentation mechanism.