# Riverlane's adaptive hardware decoder corrects errors in under 1 µs per round, cutting qubit overhead by up to 75%

Canonical page: https://technooptimist.io/stories/riverlane-s-adaptive-hardware-decoder-corrects-errors-in-under-1-s-per-9639e7fd
Date: 19 Dec 2025
About: [Riverlane](https://technooptimist.io/companies/riverlane.md) · [Deltaflow](https://technooptimist.io/quantum/deltaflow.md)
Original source: https://quantumcomputingreport.com/riverlane-unveils-first-adaptive-hardware-decoder-to-deliver-real-time-quantum-error-correction/

In a peer-reviewed Nature Communications paper, Riverlane described its Local Clustering Decoder, an FPGA decoder for the surface code that works in under a microsecond per round and adapts to leakage, where qubits slip out of their 0/1 states. Under leakage-heavy noise it reached target accuracy with a distance-17 code where a non-adaptive decoder needed distance 33.

## Key facts

- Latency: under 1 µs per decoding round.
- Adaptive decoding cuts physical-qubit overhead by up to 75%.
- Underpins Deltaflow, already deployed with Infleqtion, OQC, Rigetti and Oak Ridge National Laboratory.
- Deltaflow 3, with streaming logic, is targeted for late 2026.

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