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astro-ph.IM2025
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…
astro-ph.IM2025
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…