5 papers
STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
Dominic Gribben, Carolina Allende, Alba Villarino +5
We develop a tensor-network surrogate for option pricing, targeting large-scale portfolio revaluation problems arising in market risk management (e.g., VaR and Expected Shortfall c…
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…
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…
Quantum-Inspired Solver for Simulating Material Deformations
Mazen Ali, Aser Cortines, Siddhartha Morales +5
This paper explores the application of tensor networks (TNs) to the simulation of material deformations within the framework of linear elasticity. Material simulations are essentia…
Encoding of Probability Distributions for Quantum Monte Carlo Using Tensor Networks
Antonio Pereira, Alba Villarino, Aser Cortines +5
The application of Tensor Networks (TN) in quantum computing has shown promise, particularly for data loading. However, the assumption that data is readily available often renders…