qBraid
qBraid brings circuit and result visualization into a Python workflow that spans quantum programming frameworks and execution providers. Its visualization module draws conventional circuit diagrams and displays measurement counts or probabilities as bar charts, including comparisons between multiple runs. The circuit drawer delegates rendering to supported frameworks or PyQASM, so available output formats depend on the selected backend. Measurement plots associate computational-basis bitstrings with observed counts or probabilities, and plotting options distinguish several datasets within one figure. These views help developers inspect circuit structure and compare the output of quantum experiments.
Visualization labels
03 / VisualizationVisual representations
Visualization resources
Explore the tool’s visualization features and documentation.
Visualization guide
Worked examples of drawing quantum circuits and comparing measurement counts and probabilities.
Circuit drawer API
Documents the program input, optional conversion target, and output-format arguments for drawing circuits.
Measurement histogram API
Shows how to compare measurement-count datasets and customize or save the resulting chart.
qBraid-SDK: Platform-agnostic quantum runtime framework.
Cite this work
@software{Hill_qBraid-SDK_Platform-agnostic_quantum_2026,
author = {Hill, Ryan James and others},
url = {https://github.com/qBraid/qBraid},
doi = {10.5281/zenodo.12627596},
month = jan,
title = {{qBraid-SDK: Platform-agnostic quantum runtime framework.}},
version = {0.10.1},
year = {2025},
}