ArticleNature communications2026
Demonstrating real-time and low-latency quantum error correction with superconducting qubits.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Characterising the failure mechanisms of error-corrected quantum logic gates.Nature communications · 2026Article
- Quantum advantage for learning shallow neural networks with natural data distributions.Nature communications · 2025Article
- Local clustering decoder as a fast and adaptive hardware decoder for the surface code.Nature communications · 2025Article
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Authors and funding
25 authors.
Funding
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Abstract
Quantum error correction will be essential for quantum computers to realise their full potential. As quantum computers advance towards demonstrating a universal fault-tolerant logical gate set, implementing scalable and low-latency real-time decoding will be crucial to avoid an exponential slowdown and maintain a fast logical clock rate. Here, we demonstrate low-latency feedback with a scalable FPGA decoder integrated into the control system of a superconducting quantum processor. We perform an 8-qubit stability experiment with up to 25 decoding rounds and a sub-microsecond mean decoding time per round, providing strong evidence that the backlog problem will be avoided when the decoder is operated as a streaming decoder on a superconducting hardware with the strictest speed requirements. We observe logical error suppression as the number of decoding rounds is increased. We also implement and time a fast-feedback experiment demonstrating a decoding response time of 9.6 μs for a total of 9 measurement rounds.
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Registered trials
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