Reinforcement Learning and Quantum Decoding | Vlad Sivak Google Quantum AI

How can reinforcement learning help quantum computers learn from their own errors?
In this episode, Vlad Sivak, researcher at Google Quantum AI, joins us to discuss how reinforcement learning can improve quantum computing, from error correction and decoding to the calibration of quantum hardware. Sivak explains how reinforcement learning allows an AI agent to interact with a quantum system, learn from its errors, and discover how to improve its performance without being explicitly told which actions to take.
We explore how quantum error correction works, why decoding error syndromes is such…