activity
20232026
most citedReducing Entanglement With Physically-Inspired Fermion-To-Qubit Mappings

12 citations · 22 across the 15 of their papers we have counts for

collaborators

15 papers

quant-ph2026

Observable-targeted variational quantum simulation of Hamiltonian dynamics

Leonardo Zambrano, Luciano Pereira, Antonio Acín

Standard variational quantum simulation seeks to reproduce the evolution of the full quantum state, although many applications require only the expectation values of a few observab…

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

Quantum tomography for non-iid sources

Leonardo Zambrano

Quantum state and process tomography are typically analyzed under the assumption that devices emit independent and identically distributed (i.i.d.) states or channels. In realistic…

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…

quant-ph2026

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…

quant-ph2026

Entanglement-swapping measurements for deterministic entanglement distribution

Mir Alimuddin, Jaemin Kim, Antonio Acín +1

Entanglement swapping is a key primitive for distributing entanglement over quantum networks, but different measurement outcomes can produce end-to-end states with different entang…

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-ph2025

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-ph2025★ 3 cited

Sampling Groups of Pauli Operators to Enhance Direct Fidelity Estimation

Júlia Barberà-Rodríguez, Mariana Navarro, Leonardo Zambrano

Direct fidelity estimation is a protocol that estimates the fidelity between an experimental quantum state and a target pure state. By measuring the expectation values of Pauli ope…

quant-ph2024

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…

quant-ph2024★ 2 cited

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…

quant-ph2023★ 12 cited

Reducing Entanglement With Physically-Inspired Fermion-To-Qubit Mappings

Teodor Parella-Dilmé, Korbinian Kottmann, Leonardo Zambrano +3

In ab-initio electronic structure simulations, fermion-to-qubit mappings represent the initial encoding step of the fermionic problem into qubits. This work introduces a physically…

quant-ph2023★ 5 cited

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…