Part of the Bloqade SDK · Python · Quantum error correction

Bloqade Decoders

Turn detector outcomes into predicted logical-observable corrections through a consistent interface to open-source and optional decoders.

Quick Start Tutorials API Reference

Source: QuEraComputing/bloqade-decoders

Decode a syndromedecode.py

import numpy as np
import stim
from bloqade.decoders import BpOsdDecoder

dem = stim.DetectorErrorModel("""
    error(0.1) D0
    error(0.1) D0 D1
    error(0.1) D1 L0
""")
decoder = BpOsdDecoder(dem)
corrections = decoder.decode(np.array([[False, True]]))

A detector error model and syndrome batch use the same decoder interface as the larger examples.

§ 1 Explore

Get started with Bloqade Decoders

01 · Quick StartQuick StartConstruct a decoder and process detector samples.02 · TutorialsTutorialsWork through detector error models and BP-OSD decoding.03 · API ReferenceAPI ReferenceBrowse the generated decoder classes and methods.

§ 2 Install

Add Bloqade Decoders

pip install bloqade-decoders

Optional extras add MWPF, Tesseract, Gurobi, and table decoders.

Quick Start, Tutorials or API Reference