6 citations · 9 across the 12 of their papers we have counts for
13 papers
Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models
Nikolaos Nakis, Panagiotis Promponas, Konstantinos Tsirkas +4
Graph representation learning has become a standard approach for analyzing networked data, with latent embeddings widely used for link prediction, community detection, and related…
Aitchison Embeddings for Learning Compositional Graph Representations
Nikolaos Nakis, Chrysoula Kosma, Panagiotis Promponas +2
Representation learning is central to graph machine learning, powering tasks such as link prediction and node classification. However, most graph embeddings are hard to interpret,…
Rate-Fidelity Tradeoffs in All-Photonic and Memory-Equipped Quantum Switches
Panagiotis Promponas, Leonardo Bacciottini, Paul Polakos +3
Quantum entanglement switches are a key building block for early quantum networks, and a central design question is whether near-term devices should use only flying photons or also…
Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls
Nikolaos Nakis, Chrysoula Kosma, Panagiotis Promponas +2
Representation learning has been essential for graph machine learning tasks such as link prediction, community detection, and network visualization. Despite recent advances in achi…
Throughput-Optimal Scheduling via Rate Learning
Panagiotis Promponas, Víctor Valls, Konstantinos Nikolakakis +2
We study the problem of designing scheduling policies for communication networks. This problem is often addressed with max-weight-type approaches since they are throughput-optimal.…
On the Capacity of the Quantum Switch with and without Entanglement Decoherence
Víctor Valls, Panagiotis Promponas, Leandros Tassiulas
This paper studies the capacity of the quantum switch for two decoherence models: when link-level entanglements last (i) for a time slot, or (ii) until they are used to serve a req…
A Brief Introduction to Quantum Network Control
Víctor Valls, Panagiotis Promponas, Leandros Tassiulas
Quantum networking is an emerging area with the potential to transform information processing and communications. In this paper, we present a brief introduction to quantum network…
A Genetic Approach to Minimising Gate and Qubit Teleportations for Multi-Processor Quantum Circuit Distribution
Oliver Crampton, Panagiotis Promponas, Richard Chen +3
Distributed Quantum Computing (DQC) provides a means for scaling available quantum computation by interconnecting multiple quantum processor units (QPUs). A key challenge in this d…
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach
Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa +3
The practical realization of quantum programs that require large-scale qubit systems is hindered by current technological limitations. Distributed Quantum Computing (DQC) presents…
On the Optimization and Stability of Sectorized Wireless Networks
Panagiotis Promponas, Tingjun Chen, Leandros Tassiulas
Future wireless networks need to support the increasing demands for high data rates and improved coverage. One promising solution is sectorization, where an infrastructure node is…
Full Exploitation of Limited Memory in Quantum Entanglement Switching
Panagiotis Promponas, Víctor Valls, Leandros Tassiulas
We study the problem of operating a quantum switch with memory constraints. In particular, the switch has to allocate quantum memories to clients to generate link-level entanglemen…
Network Slicing: Market Mechanism and Competitive Equilibria
Panagiotis Promponas, Leandros Tassiulas
Towards addressing spectral scarcity and enhancing resource utilization in 5G networks, network slicing is a promising technology to establish end-to-end virtual networks without r…
A Fragile multi-CPR Game
Christos Pelekis, Panagiotis Promponas, Juan Alvarado +2
A Fragile CPR Game is an instance of a resource sharing game where a common-pool resource, which is prone to failure due to overuse, is shared among several players. Each player ha…