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quant-ph2026
Optimization-based Unfolding in High-Energy Physics
Simone Gasperini, Gianluca Bianco, Marco Lorusso +2
In experimental High-Energy Physics, unfolding refers to the problem of estimating the underlying distribution of a physical observable from detector-level data, in the presence of…
quant-ph2025★ 1 cited
On Dequantization of Supervised Quantum Machine Learning via Random Fourier Features
Mehrad Sahebi, Alice Barthe, Yudai Suzuki +2
In the quest for quantum advantage, a central question is under what conditions can classical algorithms achieve a performance comparable to quantum algorithms--a concept known as…
quant-ph2024
Enhanced feature encoding and classification on distributed quantum hardware
Roberto Moretti, Andrea Giachero, Voica Radescu +1
The steady progress of quantum hardware is motivating the search for novel quantum algorithm optimization strategies for near-term, real-world applications. In this study, we propo…