17 citations · 27 across the 7 of their papers we have counts for
7 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…
Measurement-enabled online quantum processing with amplitude encoding
Giacomo Franceschetto, Pere Mujal, Rodrigo Martínez-Peña
We introduce a quantum reservoir computing online protocol that realizes amplitude encoding on quantum hardware. Our scheme combines mid-circuit measurement and reset operations to…
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…
Harnessing quantum back-action for time-series processing
Giacomo Franceschetto, Marcin Płodzień, Maciej Lewenstein +2
Quantum measurements affect the state of the observed systems via back-action. While projective measurements extract maximal classical information, they drastically alter the syste…
Quantum Optimization Methods for Satellite Mission Planning
Antón Makarov, Carlos Pérez-Herradón, Giacomo Franceschetto +5
Satellite mission planning for Earth observation satellites is a combinatorial optimization problem that consists of selecting the optimal subset of imaging requests, subject to co…
Demonstration of quantum projective simulation on a single-photon-based quantum computer
Giacomo Franceschetto, Arno Ricou
Variational quantum algorithms show potential in effectively operating on noisy intermediate-scale quantum devices. A novel variational approach to reinforcement learning has been…
Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing
Antón Makarov, Márcio M. Taddei, Eneko Osaba +3
Satellite image acquisition scheduling is a problem that is omnipresent in the earth observation field; its goal is to find the optimal subset of images to be taken during a given…