7 citations · 10 across the 9 of their papers we have counts for
9 papers
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…
Certification of quantum properties with imperfect measurements
Leonardo Zambrano, Teodor Parella-Dilmé, Antonio Acín +1
The accurate characterization of quantum systems is essential for the advancement of quantum technologies. In particular, certifying convex functions of quantum states plays a cent…
Bounding many-body properties under partial information and finite measurement statistics
Luke Mortimer, Leonardo Zambrano, Antonio Acín +1
Calculating bounds of properties of many-body quantum systems is of paramount importance, since they guide our understanding of emergent quantum phenomena and complement the insigh…
Spatial Leggett-Garg inequalities
Guillem Müller-Rigat, Donato Farina, Maciej Lewenstein +1
We formulate a spatial extension of the Leggett-Garg inequality by considering three distant observers locally measuring a many-body system at three subsequent times. The spatial f…
Mapping Phase Diagrams of Quantum Spin Systems through Semidefinite-Programming Relaxations
David Jansen, Donato Farina, Luke Mortimer +5
Identifying quantum phase transitions poses a significant challenge in condensed matter physics, as this requires methods that both provide accurate results and scale well with sys…
Boosting thermalization of classical and quantum many-body systems
Jin-Fu Chen, Kshiti Sneh Rai, Patrick Emonts +5
Understanding and optimizing the relaxation dynamics of many-body systems is essential both for foundational studies in quantum thermodynamics and for applications such as quantum…
Certifying steady-state properties of open quantum systems
Luke Mortimer, Donato Farina, Grazia Di Bello +4
Estimating the steady-state properties of open many-body quantum systems is a fundamental challenge in quantum science and technologies. In this work, we present a scalable approac…
Boosting projective methods for quantum process and detector tomography
Júlia Barberà-Rodríguez, Leonardo Zambrano, Antonio Acín +1
We introduce two methods for quantum process and detector tomography. In the quantum process tomography method, we develop an analytical procedure for projecting the linear inversi…
Deep Neural Network-assisted improvement of quantum compressed sensing tomography
Adriano Macarone-Palmieri, Leonardo Zambrano, Maciej Lewenstein +2
Quantum compressed sensing is the fundamental tool for low-rank density matrix tomographic reconstruction in the informationally incomplete case. We examine situations where the ac…