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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…
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…
Using Planck maps for a systematic search of ultra-bright high-redshift strongly lensed galaxies
Matteo Bonato, Leonardo Trobbiani, Ivano Baronchelli +6
This paper presents a novel approach to the use of Planck telescope data for the systematic search of ultra-bright high-redshift strongly lensed galaxies. These galaxies provide cr…
Structure evolution with cosmic backgrounds from radio to far infrared
Carlo Burigana, Tiziana Trombetti, Matteo Bonato +2
Cosmic background radiation, both diffuse and discrete in nature, produced at different cosmic epochs before and after recombination, provides key information on the evolution of c…
Observer motion and boosting effects on the cosmic background monopole spectrum, solutions and perspectives
Tiziana Trombetti
The peculiar motion of an observer relative to an ideal reference frame at rest with respect to the cosmic background produces boosting effects which modify and transfer at higher…
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…