Machine Learning Contributes To Better Quantum Error Correction

Researchers from the RIKEN Center for Quantum Computing have used machine learning to develop an autonomous system for error correction in quantum computers. This system is approximate, but can efficiently determine how best to make the necessary corrections while minimizing device complexity. This approach could help make quantum computers more practical and overcome the challenge of their extremely fragile nature.