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quant-ph2025
Experimental property-reconstruction in a photonic quantum extreme learning machine
Alessia Suprano, Danilo Zia, Luca Innocenti +10
Recent developments have led to the possibility of embedding machine learning tools into experimental platforms to address key problems, including the characterization of the prope…
quant-ph2024
Variational Gibbs State Preparation on NISQ devices
Mirko Consiglio, Jacopo Settino, Andrea Giordano +6
The preparation of an equilibrium thermal state of a quantum many-body system on noisy intermediate-scale quantum (NISQ) devices is an important task in order to extend the range o…