A new paper published in MDPI Fibers introduces a polynomial-based model for accurately characterizing the noise figure of Erbium-Doped Fiber Amplifiers (EDFAs). The proposed model strikes a balance between accuracy and computational simplicity, making it well suited...
New Publication: Generating Realistic Optical Topologies with MoleNetwork
A new article published in the Journal of Optical Communications and Networking presents MoleNetwork, a methodology for generating realistic optical network topologies to support techno-economic analysis. The proposed framework enables researchers and network planners...
New Publication: Offline Scheduling for TDM-QKD Networks
We highlight a recent publication in the Journal of Optical Communications and Networking that investigates offline scheduling mechanisms for time-division multiplexed Quantum Key Distribution (TDM-QKD) networks. The paper focuses on how centralized, offline...
New Publication: Polynomial Modeling of Noise Figure in Erbium-Doped Fiber Amplifiers
We are pleased to announce a new research article published in MDPI Fibers (2025): Polynomial Modeling of Noise Figure in Erbium-Doped Fiber AmplifiersR. D’Ingillo, A. Castronovo, S. Straullu, V. Curri In this work, the authors propose a polynomial model for the noise...
New Publication: Enhanced Network Security Protocols for the Quantum Era
We are pleased to announce a new article published in the IEEE Journal on Selected Areas in Communications (2025, Early Access): Enhanced Network Security Protocols for the Quantum Era: Combining Classical and Post-Quantum Cryptography, and Quantum Key...
New Publication: DRL-Assisted QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
A new research article has been published in the Journal of Lightwave Technology (2025): DRL-Assisted QoT-Aware Service Provisioning in Multi-Band Elastic Optical NetworksAuthors: Y. Teng et al. This paper proposes a deep reinforcement learning–based framework for...
Learning the N-Input Parity Function with a Single-Qubit and Single-Measurement Sampling
We highlight a seminal contribution to quantum machine learning titled: Learning the N-Input Parity Function with a Single-Qubit and Single-Measurement Sampling This work addresses the problem of learning parity functions, a well-known hard task in classical learning...
New Publication on Hybrid Autoencoders for Variational Quantum Classifiers
A new research article titled “Enhancing the performance of variational quantum classifiers with hybrid autoencoders” has been published in Quantum Information Processing, Volume 24, Issue 8 (Article 244). The paper explores a hybrid classical–quantum learning...
Invited Paper on Optical Switching for Data Centers and Advanced Computing
A new invited article titled “Optical switching for data centers and advanced computing systems” has been published in the Journal of Optical Communications and Networking (JOCN), 2025. The paper reviews state-of-the-art optical switching architectures and their role...
New Publication on Time-Division Multiplexed QKD Networks
A new research article titled “Designing optimal Quantum Key Distribution Networks based on Time-Division Multiplexing of QKD transceivers: qTDM-QKDN” has been published in Future Generation Computer Systems (FGCS), Volume 164, 2025. The paper proposes qTDM-QKDN, an...