6 papers
Rigorous Time-dependent Hamiltonian Learning via Continuous Weak Measurements
Jesús Jiménez-Rodríguez, Giacomo Franceschetto, Antonio Acín +1
Characterizing the Hamiltonian that a quantum processor actually implements is central to calibrating and validating current quantum hardware. Many devices, however, operate with g…
Rigorous quantum state tomography for distributed quantum computing
Hans Mättig-Vásquez, Aldo Delgado, Luciano Pereira
Distributed quantum computing offers a promising approach to scaling quantum devices by networking multiple quantum processors. We present a quantum state tomography protocol tailo…
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…
High-accuracy adaptive quantum tomography for high-dimensional quantum systems
L. Pereira, D. Martínez, G. Cañas +4
The accuracy of estimating -dimensional quantum states is limited by the Gill-Massar bound. It can be saturated in the qubit () scenario using adaptive standard quantum tom…
Estimation of pure states using three measurement bases
L. Zambrano, L. Pereira, D. Martínez +3
We introduce a new method to estimate unknown pure -dimensional quantum states using the probability distributions associated with only three measurement bases. Measurement resu…
Multi-core fiber integrated multi-port beamsplitters for quantum information processing
J. Cariñe, G. Cañas, P. Skrzypczyk +10
Multi-port beamsplitters are cornerstone devices for high-dimensional quantum information tasks, which can outperform the two-dimensional ones. Nonetheless, the fabrication of such…