6 papers
Multivariate time-series forecasting of ASTRI-Horn monitoring data: A Normal Behavior Model
Federico Incardona, Alessandro Costa, Farida Farsian +8
This study presents a Normal Behavior Model (NBM) developed to forecast monitoring time-series data from the ASTRI-Horn Cherenkov telescope under normal operating conditions. The a…
A Quantum Genetic Algorithm with application to Cosmological Parameters Estimation
Giuseppe Sarracino, Vincenzo Fabrizio Cardone, Roberto Scaramella +14
An Amplitude-Encoded Quantum Genetic Algorithm (AEQGA) has been developed to minimize functions of different cosmological probes (Supernovae Type Ia, Baryon Acoustic Oscillat…
Quantum Markov Chain Monte Carlo for Cosmological Functions
Giuseppe Sarracino, Vincenzo Fabrizio Cardone, Roberto Scaramella +14
We present an implementation of Quantum Computing for a Markov Chain Monte Carlo method with an application to cosmological functions, to derive posterior distributions from cosmol…
Comparing Quantum Machine Learning Approaches in Astrophysical Signal Detection
Mansur Ziiatdinov, Farida Farsian, Francesco Schilliró +1
Machine Learning (ML) serves as a general-purpose, highly adaptable, and versatile framework for investigating complex systems across domains. However, the resulting computational…
The Application of Quantum Fourier Transform in Cosmic Microwave Background Data Analysis
Farida Farsian, Tiziana Trombetti, Carlo Burigana +11
The Cosmic Microwave Background (CMB) data analysis and the map-making process rely heavily on the use of spherical harmonics. For suitable pixelizations of the sphere, the (forwar…
Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection
Farida Farsian, Nicolò Parmiggiani, Alessandro Rizzo +12
This study evaluates the use of Quantum Convolutional Neural Networks (QCNNs) for identifying signals resembling Gamma-Ray Bursts (GRBs) within simulated astrophysical datasets in…