Quantum-aware Transformer model for state classification
This work focuses on bipartite quantum states and presents a data-driven approach to entanglement classification using transformer-based neural networks, successfully adapts transformers for quantum state analysis, demonstrating their ability to systematically identify entanglement in bipartite systems.
Przemysław Sekuła, M. Romaszewski, P. Głomb et al.
· International Conference on... · 1 citation