Quantum States Data Set
A comprehensive dataset containing entangled, separable, and bound-entangled multi-qubit states for quantum machine learning.

Quantum States Data Set
This open dataset provides multi-qubit density matrices categorized by their separability and entanglement characteristics, specially formatted for benchmarking quantum machine learning models, state classifiers, and entanglement witnesses.
📊 Dataset Contents
- Two-Qubit States: Werner states, Horodecki states, Bell diagonal states, and Maximally Entangled Mixed States (MEMS).
- Three-Qubit States: Genuine tripartite entangled states (GHZ, W), biseparable states, and fully separable states.
- Parameters Provided: Density matrices ($\rho$), concurrence, negativity, purity, and entanglement spectrum eigenvalues.