3 papers
quant-ph2026
Quantum work extraction from partial information and with finite resources
Giacomo Guarnieri, Diego Maragnano, Giulia Gamba +2
Information can be converted into work, but in quantum mechanics information about a state is not freely available: it must be inferred statistically from measurements on a finite…
quant-ph2025
A Permutation-equivariant Deep Learning Model for Quantum State Characterization
Diego Maragnano, Claudio Cusano, Marco Liscidini
The characterization of quantum states is a fundamental step of any application of quantum technologies. Nowadays there exist several approaches addressing this problem, also based…
quant-ph2025
Enhanced Compressive Threshold Quantum State Tomography for Qudit Systems
Giovanni Garberoglio, Maurizio Dapor, Diego Maragnano +2
We propose an efficient quantum state tomography method inspired by compressed sensing and threshold quantum state tomography that can drastically reduce the number of measurement…