AlphaQubit
AlphaQubit is a transformer decoder for quantum error correction with 6% fewer errors than tensor networks and 30% fewer than correlated matching.
Built with Google Quantum AI. Trained and tested on a 49-qubit Sycamore experiment and simulations up to 241 qubits, holding accuracy over simulated runs of up to 100,000 error-correction rounds.
- Date
- Wednesday, 20 November 2024
- Lab
- Google DeepMind
- Kind
- model
- Access
- research preview
Figures
| Measure | Value | Measured by |
|---|---|---|
| Errors vs correlated matching | -30% -6% vs tensor networks | company |
Published in Nature 2024-11-20.
Sources
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