We are delighted to announce a recent publication in the Journal of Optical Communications and Networking: Farhad Arpanaei, José Manuel Rivas-Moscoso, Iván de Francesca, José Alberto Hernández, Alfonso Sánchez-Macián, Mahdi Ranjbar Zefreh, David Larrabeiti, and Juan...
Allegro Researchers Publish on QoT-Aware Resource Allocation in Elastic Optical Networks
We are pleased to share a new publication in the Journal of Optical Communications and Networking: 📖 M. Mehrabi, H. Beyranvand, M. J. Emadi, and F. Arpanaei, "Efficient statistical QoT-aware resource allocation in EONs over the C+L-band: a multi-period and low-margin...
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...
ALLEGRO Project – QDT Opportunities & Use Cases
Within the ALLEGRO project, we are exploring how Quantum Digital Twin (QDT) concepts can enhance Quantum Key Distribution (QKD) systems. Our work starts by detailing the quantum channel (qCh) components — their functionalities and imperfections — and identifying how...
ALLEGRO Project Update – Novel Coherent Transceiver Architecture
As part of the ALLEGRO project, we are excited to present our novel coherent transceiver architecture that enables both high-speed data transmission and optical identification (OI) in a point-to-point classical fibre link between Alice and Bob. 🔹 Key Capability: This...
Combining PUFs, QRNG, and QKD for Next-Generation Secure Authentication
In the ALLEGRO project, we are exploring a novel technique for user authentication in Quantum Key Distribution (QKD) systems by integrating Physical Unclonable Functions (PUFs) with Quantum Random Number Generators (QRNG) and Quantum Key Distribution (QKD) itself. In...
Allegro Project Update – Exploring Machine Learning Attacks on Inter-Class Datasets with GANs
As part of our work in the EU-funded Allegro project, we investigated a machine learning-based attack on Physical Unclonable Function (PUF) systems using Generative Adversarial Networks (GANs). ➡️ We specifically used a Conditional GAN (cGAN) implemented through the...
Exploring the Complexity of CRPs with Multiscale Entropy Analysis
As part of our ongoing work in the Allegro project, we investigated the complexity of Challenge-Response Pairs (CRPs) using a multiscale entropy approach — an essential step in characterizing Physical Unclonable Functions (PUFs) for secure embedded systems. 🧠 What...
Allegro Project Update – Post-processing Algorithm for Cryptographically Secure Speckle-based PUFs
We’re excited to share a core component of our work in the Allegro Project – the Post-processing Algorithm that transforms raw optical speckle patterns into cryptographically secure binary sequences, without storing any raw experimental data. This is a major step...
ALLEGRO Project: Optical PUFs for Next-Generation Network Security
In ALLEGRO, we're rethinking how networks verify trust. Modern network security depends on confidentiality, integrity, and authenticity—but traditional mechanisms are often vulnerable to sophisticated attacks. That’s why within the ALLEGRO project, we're pioneering...