Less Qubit
More Intelligence

Quantum Data Layer for Physical AI

Training data
for Quantum AI.

Browse on Hugging Face
VQA · Barren Plateaus
SIRIUS-14k
13,800 labeled optimization trajectories across 4 VQA circuit architectures. The first public labeled dataset for barren plateau research, with gradient variance profiles, convergence diagnostics, and 24-field multi-label trainability annotations.
 
Molecular ChemistryNew
QM9 Quantum Relabeled
Quantum-relabeled QM9 benchmark: 134k small organic molecules with quantum chemistry properties. Higher-fidelity relabel than the QM7b version, enriched with quantum simulation outputs for AI-driven chemistry research at scale.
 
Toxicology · Drug Safety
Tox21 NR-AR Quantum
Quantum-enhanced Tox21 nuclear receptor androgen receptor benchmark. Molecular toxicity data augmented with quantum chemical descriptors for drug safety prediction and bioactivity modelling.
 
Mass Spectrometry
Micro Mass Quantum
Micro-scale mass spectrometry data with quantum augmentation. Spectral fingerprints and quantum-derived molecular descriptors for AI-driven compound identification and classification.
 
Quantum Kernels
Micro Mass Amplitude Kernel
Amplitude-encoded quantum kernel matrices from micro-mass spectrometry data. Ready-to-use quantum feature maps and kernel evaluations for quantum SVM and kernel method research.
 
More coming
New datasets added monthly.
View all on Hugging Face
ReLab Engine · Early Access

Quantum data relabelling for your AI stack.

Contact for access

Quantum Evals
and Benchmarks.

A network of quantum physicists, AI researchers, and domain experts evaluating quantum circuits and benchmarking results at scale.

Join 100+ experts building the data layer quantum AI requires. Purpose-built from day one.

Join the Platform
Quantum Data Labeling
Domain experts annotate quantum circuits, molecular configurations, and error syndromes with verifiable precision.
Hybrid Q-Classical Models
Infrastructure for training on mixed quantum-classical datasets. Native quantum reasoning from day one.
Circuit Evaluations
Quantum circuit benchmarking and evaluation pipelines for AI decoder and error correction research.
Quantum Evals
Standardised evaluation frameworks for quantum AI models, with reproducible benchmarks across circuit families and noise regimes.