5 papers
Quantum-inspired Tensor Network for QUBO, QUDO and Tensor QUDO Problems with k-neighbors
Sergio Muñiz Subiñas, Alejandro Mata Ali, Jorge Martínez Martín +3
This work presents a novel tensor network algorithm for solving Quadratic Unconstrained Binary Optimization (QUBO) problems, Quadratic Unconstrained Discrete Optimization (QUDO) pr…
Energy-Efficient Eimeria Parasite Detection Using a Two-Stage Spiking Neural Network Architecture
Ángel Miguel García-Vico, Huseyin Seker, Muhammad Afzal
Coccidiosis, a disease caused by the Eimeria parasite, represents a major threat to the poultry and rabbit industries, demanding rapid and accurate diagnostic tools. While deep lea…
Optimization of the quantization of dense neural networks from an exact QUBO formulation
Sergio Muñiz Subiñas, Manuel L. González, Jorge Ruiz Gómez +4
This work introduces a post-training quantization (PTQ) method for dense neural networks via a novel ADAROUND-based QUBO formulation. Using the Frobenius distance between the theor…
Vacuum Spiker: A Spiking Neural Network-Based Model for Efficient Anomaly Detection in Time Series
Iago Xabier Vázquez, Javier Sedano, Muhammad Afzal +1
Anomaly detection is a key task across domains such as industry, healthcare, and cybersecurity. Many real-world anomaly detection problems involve analyzing multiple features over…
Knapsack and Shortest Path Problems Generalizations From A Quantum-Inspired Tensor Network Perspective
Sergio Muñiz Subiñas, Jorge Martínez Martín, Alejandro Mata Ali +2
In this paper, we present two tensor network quantum-inspired algorithms to solve the knapsack and the shortest path problems, and enables to solve some of its variations. These me…