Quantum Machines and Nvidia have made progress in quantum computing control by using reinforcement learning to improve qubit calibration. This approach, demonstrated on a Rigetti quantum chip, enables continuous calibration and could lead to significant gains in quantum error correction. The successful collaboration shows potential for applying this method to more complex quantum systems.
