4 papers
Rigorous Time-dependent Hamiltonian Learning via Continuous Weak Measurements
Jesús Jiménez-RodrÃguez, Giacomo Franceschetto, Antonio AcÃn +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…
Minimum optical depth multiport interferometers for approximating arbitrary unitary operations and pure states
Luciano Pereira, Alejandro Rojas, Gustavo Lima +3
Reconfigurable devices which can implement arbitrary unitary operations are crucial for photonic quantum computation, optical neural networks, and boson sampling. Here, we address…