Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About
About me
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Optimization of image acquisition for earth observation satellites via quantum computing Permalink
Antón Makarov, Márcio M Taddei, Eneko Osaba, Giacomo Franceschetto, Esther Villar-Rodríguez, Izaskun Oregi – IDEAL 2023, 2023
Satellite image acquisition scheduling selects the optimal subset of images during an orbit pass under constraints. Although widely studied in AI and operations research, it has rarely been approached with quantum computing. We propose two QUBO formulations to handle the problem and test them on D-Wave quantum annealers and hybrid solvers across 20 benchmark instances.
Quantum optimization methods for satellite mission planning Permalink
Antón Makarov, Carlos Pérez-Herradón, Giacomo Franceschetto, Márcio M Taddei, Eneko Osaba, Paloma del Barrio Cabello, Esther Villar-Rodriguez, Izaskun Oregi – IEEE Access, 2024
We study satellite mission planning as a combinatorial optimization problem and develop methods to encode complex constraints for quantum computers. We experimentally evaluate quantum annealing and QAOA on realistic datasets, analyzing how problem structure impacts performance and establishing a baseline for current quantum optimization capabilities.
Demonstration of Quantum Projective Simulation on a Single-Photon-Based Quantum Computer Permalink
Giacomo Franceschetto, Arno Ricou – Physical Review A, 2024
We implement a projective-simulation-based variational reinforcement learning algorithm on Quandela’s single-photon quantum computer. Using quantum walks of photons across tunable beamsplitters and phase shifters, we solve a benchmark task and demonstrate the potential of a quantum agent over a classical one.
Hamiltonian learning via quantum Zeno effect Permalink
Giacomo Franceschetto, Egle Pagliaro, Luciano Pereira, Leonardo Zambrano, Antonio Acín – arXiv, 2025
We propose a Hamiltonian learning protocol that leverages the quantum Zeno effect to reshape and localize system dynamics, enabling the extraction of local Hamiltonian coefficients, and demonstrate its feasibility by learning a 109-qubit Hamiltonian on IBM’s hardware.
Harnessing quantum back-action for time-series processing Permalink
Giacomo Franceschetto, Marcin Płodzień, Maciej Lewenstein, Antonio Acín, Pere Mujal – Physical Review X, 2026
We show that optimizing indirect measurements in quantum reservoir computing improves execution time and overall performance. By tuning both the reservoir Hamiltonian and measurement strength across benchmarking tasks, we provide a practical approach to enhance indirect measurement-based protocols.
Measurement-enabled online quantum processing with amplitude encoding Permalink
Giacomo Franceschetto, Pere Mujal, Rodrigo Martínez-Peña – arXiv, 2026
We introduce an online quantum reservoir computing protocol that implements amplitude encoding using mid-circuit measurement and reset, while indirect measurements provide access to reservoir observables without interrupting temporal processing. We demonstrate the protocol in a proof-of-principle implementation on quantum hardware.
Rigorous Time-dependent Hamiltonian Learning via Continuous Weak Measurements Permalink
Jesús Jiménez-Rodríguez, Giacomo Franceschetto, Antonio Acín, Luciano Pereira – arXiv, 2026
We develop an experimentally friendly protocol for learning time-dependent many-body Hamiltonians from continuous weak measurements. By exploiting interaction sparsity, the global reconstruction reduces to local inverse problems, for which we derive explicit reconstruction-error and sample-complexity guarantees.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.