Google Research proposes quantum computers that learn from their mistakes
Towards a quantum computer that learns from its errors
What happened
In a paper published in Nature, Google Research proposes using reinforcement learning to let autonomous agents learn from quantum error-correction detection events, continuously adjusting thousands of control parameters during computation to counter drift.
Why it matters
Google trains a reinforcement-learning agent on quantum error-correction data to continuously calibrate control parameters without interrupting computation.
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