works on

From the 1 of 11 linked papers with an AI index.

collaborators

11 papers

quant-ph2026

Quantum tomography for non-iid sources

Leonardo Zambrano

The paper proves that projected least‑squares quantum tomography retains optimal sample complexity even when the prepared states or channels are not independent and identically dis…

quant-ph2026

Fast quantum measurement tomography with optimal error bounds

Leonardo Zambrano, Sergi Ramos-Calderer, Richard Kueng

We present a two-step protocol for quantum measurement tomography that is light on classical co-processing cost and still achieves optimal sample complexity. Given measurement data…

quant-ph2026

Certifying quantum states without independence assumptions

Mariana Navarro, Leonardo Zambrano

Standard quantum verification and certification protocols often assume that experimental sources emit independent and identically distributed (i.i.d.) states. In realistic scenario…

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-ph2026

Classical shadows for non-iid quantum sources

Leonardo Zambrano

Classical shadow tomography has emerged as a powerful framework for predicting properties of quantum many-body systems with favorable sample complexity. Standard theoretical guaran…

quant-ph2026

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…