# Google Research — Towards a quantum computer that learns from its errors

- Company: Google Research (research.google)
- Announced: 2026-07-22T18:40:21+00:00
- Category: research-paper
- Subject: Research
- Models affected: Willow, AlphaQubit, Tesseract
- Source: https://research.google/blog/towards-a-quantum-computer-that-learns-from-its-errors/
- Record: https://forck.live/items/1322-towards-a-quantum-computer-that-learns-from-its-errors

Google Research demonstrated a reinforcement learning framework for quantum error correction that allows a quantum computer to continuously adapt to drift and remain stable during long computations, as published in Nature.

## Evidence

Verbatim from https://research.google/blog/towards-a-quantum-computer-that-learns-from-its-errors/:

> To address this, in “Reinforcement learning control of quantum error correction”, published in Nature, we demonstrated a reinforcement learning (RL) framework in which an autonomous agent learns from quantum error detections to continuously steer thousands of control parameters, stabilizing the quantum system against drift during the computation.

---

Record: https://forck.live/items/1322-towards-a-quantum-computer-that-learns-from-its-errors
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md
