Google Research· Research

Towards a quantum computer that learns from its errors

Volodymyr Sivak and Paul Klimov, Research Scientists, Google Quantum AI, Google Research By integrating reinforcement learning with quantum error correction, we showed that a quantum computer can continuously adapt to drift and remain stable during long computations. Quick links Paper Share Copy link × Imagine a symphony orchestra performing a complex masterpiece. If the violins drifted out of tune every few measures, the ensemble would constantly have to stop and retune their instruments. Thankfully, this doesn't happen in an orchestra because the instruments reliably stay in tune. However, it is the current reality of operating a quantum computer. Since quantum computers are fundamentally analog machines that are sensitive to drift, maintaining reliable operation requires perpetually recalibrating their control parameters, i.e., the frequencies, amplitudes, and phases of the analog signals choreographing the qubits. Today, this requires fully terminating the entire quantum computation. …

Announced

22 Jul 2026 18:40 UTC