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quant-ph2026
Certifying ergotropy under partial information
Egle Pagliaro, Leonardo Zambrano, Mir Alimuddin +3
Ergotropy, the maximum work extractable from a quantum system, is a central resource in quantum physics. Computing ergotropy is well established when the system state is fully know…
quant-ph2025
Hamiltonian learning via quantum Zeno effect
Giacomo Franceschetto, Egle Pagliaro, Luciano Pereira +2
Determining the Hamiltonian of a quantum system is essential for understanding its dynamics and validating its behavior. Hamiltonian learning provides a data-driven approach to rec…
quant-ph2024
Certification of quantum state functions under partial information
Leonardo Zambrano, Donato Farina, Egle Pagliaro +2
Convex functions of quantum states play a key role in quantum physics, with examples ranging from Bell inequalities to von Neumann entropy. However, in experimental scenarios, dire…