Researchers from the RIKEN Center for Quantum Computing have developed a machine learning-based system for error correction in quantum computers. This autonomous system can efficiently determine how to make the necessary corrections while minimizing device overhead and maintaining good error correcting performance. This could be a crucial step for making quantum computers practical.
