QEC Explorer integrates high accuracy software decoders and noise analysis tools into quantum error correction experiment workflows.
Benchmark the logical fidelity of your experiments and production devices, and analyse noise sources to improve logical fidelities for future experiments,
QEC Explorer offers offline decoding capabilities that are complementary to Riverlane's real-time hardware decoders.
Installation free. With a Jupyter environment interface that provides access to desires features through a Python API.
Introducing Riverlane's Ambiguity Clustering Decoder
A qLDPC decoder that’s 150x faster than the industry standard.
qLDPC codes can make do with far fewer physical qubits than the current, leading quantum error correction code: the surface code. But we still need to be able to decode qLDPC codes in order to take advantage of this qubit reduction.
That's where Ambiguity Clustering comes in. A new super-fast method that’s reduced quantum decoding times for one qLDPC code experiment from 1.5 hours to half a minute!
Read the full paper here
Our proprietary AC decoder is now available in the latest version of our analytics tool QEC Explorer. Request a demo for more information.
Benchmark logical fidelity by decoding measurement data from QEC experiments or simulations
Diagnose noise sources from QEC experiments by analysing defect rates and correlation matrices
Decode QEC experiments and simulations using open-source decoders, as well as Riverlane proprietary decoders
Improve decoding accuracy by using measurement data to determine decoding graph