New Publication from Allegro EU Project Researchers “Classification of data with a qudit, a geometric approach”

We are pleased to announce that researchers from the Allegro EU Project have published a new paper in Quantum Machine Intelligence:

📖 A. Mandilara, B. Dellen, U. Jaekel, T. Valtinos, D. Syvridis, “Classification of data with a qudit, a geometric approach”, Quantum Mach. Intell. 6, 17 (2024).

This paper presents a geometric framework for classifying data using qudits, contributing to the intersection of quantum information theory and machine learning. The approach demonstrates how leveraging higher-dimensional quantum states can enhance data classification tasks, paving the way for more powerful quantum-enhanced learning algorithms.

🔗 Access the full publication here: Paper link

This achievement highlights the ongoing commitment of the Allegro EU Project to advance quantum-enabled technologies for next-generation intelligent systems.