1 citations · 2 across the 7 of their papers we have counts for
8 papers
Optimal Entanglement Routing in Quantum Repeater Chains: Beyond Fixed Operation Order and Purification Schedule
Aikaterini Mandilara, Antonia Tsili, Dimitris Syvridis +1
Entanglement routing establishes entangled pairs between distant nodes of a quantum network by purifying and swapping pairs generated on elementary links. Existing methods typicall…
Feature Ranking in Credit-Risk with Qudit-Based Networks
Georgios Maragkopoulos, Lazaros Chavatzoglou, Aikaterini Mandilara +1
In finance, predictive models must balance accuracy and interpretability, particularly in credit risk assessment, where model decisions carry material consequences. We present a qu…
A Measurement Device Independent Quantum Key Distribution protocol in the service of three users
N. Stefanakos, G. Maragkopoulos, A. Mandilara +1
Quantum Key Distribution (QKD) is the only theoretically proven method for secure key distribution between two users. In this work, we propose and analyze a Measurement Device Inde…
Applications of Hybrid Machine Learning Methods to Large Datasets: A Case Study
G. Maragkopoulos, N. Stefanakos, A. Mandilara +1
We combine classical and quantum Machine Learning (ML) techniques to effectively analyze long time-series data acquired during experiments. Specifically, we demonstrate that replac…
Real-time diagnostics on a QKD link via QBER Time Series Analysis
G. Maragkopoulos, A. Mandilara, T. Nikas +1
The integration of QKD systems in Metro optical networks raises challenges which cannot be completely resolved with the current technological status. In this work we devise a metho…
Enhancing the performance of Variational Quantum Classifiers with hybrid autoencoders
G. Maragkopoulos, A. Mandilara, A. Tsili +1
Variational Quantum Circuits (VQC) lie at the forefront of quantum machine learning research. Still, the use of quantum networks for real data processing remains challenging as the…
The Gell-Mann feature map of qutrits and its applications in classification tasks
T. Valtinos, A. Mandilara, D. Syvridis
Recent advancements in quantum hardware have enabled the realization of high-dimensional quantum states. This work investigates the potential of qutrits in quantum machine learning…
Classification of data with a qudit, a geometric approach
A. Mandilara, B. Dellen, U. Jaekel +2
We propose a model for data classification using isolated quantum -level systems or else qudits. The procedure consists of an encoding phase where classical data are mapped on t…