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.

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.

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 ...