8 papers
A tensor network approach for chaotic time series prediction
Rodrigo MartÃnez-Peña, Román Orús
Making accurate predictions of chaotic time series is a complex challenge. Reservoir computing, a neuromorphic-inspired approach, has emerged as a powerful tool for this task. It e…
Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
Borja Aizpurua, Sukhbinder Singh, Román Orús
We address the problem of implementing bottleneck layers from classical pre-trained neural networks on a quantum computer, with the goal of exploring intrinsically quantum ansatz f…
Quantum-based QoE Optimization in Advanced Cellular Networks: Integration and Cloud Gaming Use Case
Fatma Chaouech, Javier Villegas, António Pereira +8
This work explores the integration of Quantum Machine Learning (QML) and Quantum-Inspired (QI) techniques for optimizing end-to-end (E2E) network services in telecommunication syst…
Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
Luigi D'Amico, Daniel De Rosso, Ninad Dixit +6
In the rapidly evolving domain of financial technology, the detection of illicit transactions within blockchain networks remains a critical challenge, necessitating robust and inno…
Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging
Mazen Ali, António Pereira, Fabio Gentile +5
Cloud and cloud shadow masking is a crucial preprocessing step in hyperspectral satellite imaging, enabling the extraction of high-quality, analysis-ready data. This study evaluate…
Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods
Alessandro Daniele Genuardi Oquendo, Ali Nadir, Tigers Jonuzi +4
Photonic Integrated Circuits (PICs) provide superior speed, bandwidth, and energy efficiency, making them ideal for communication, sensing, and quantum computing applications. Desp…