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QSBench

Ideal. Noisy. Reproducible.

High-quality synthetic quantum datasets with paired ideal and noisy expectation values.
The definitive ground truth for Quantum Machine Learning research.

The Demo Suite

Seven free-to-use datasets to validate your models before scaling up.

Core Demo

Balanced circuit families for general testing.

v1.0.0-demo

Depolarizing

Standard incoherent noise samples.

v1.0.0-demo

Amplitude

Realistic T1 relaxation noise simulation.

v1.0.0-demo

Transpilation

Hardware-aware circuit topology data.

v1.0.0-demo

Thermal

Realistic T1/T2 thermal relaxation.

v1.0.0-demo

Device

Full device-like noise model.

v1.0.0-demo

Readout

Measurement (readout) error simulation.

v1.0.0-demo

Interactive QML Spaces

Explore functional demos trained on our free datasets.

Noise Robustness Benchmark

Launch Demo →

Multi-Target Regression

Launch Demo →

Circuit Family Classifier

Launch Demo →

Entanglement Score

Launch Demo →

CNOT Estimator

Launch Demo →

Noise Detection

Launch Demo →

Complexity Clustering

Launch Demo →

Need a Custom Dataset?

Looking for larger datasets, specific noise regimes, custom circuit families,
or higher qubit/depth configurations? We can generate exactly what you need.

Request Custom Dataset — qsbench@gmail.com