Marcello Benedetti

According to our database, Marcello Benedetti authored at least 13 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Quantum state preparation for multivariate functions.

Matthias Rosenkranz, Eric Brunner, Gabriel Marin-Sanchez, Nathan Fitzpatrick, Silas Dilkes, Yao Tang, Yuta Kikuchi, Marcello Benedetti

Quantum, 2025

2024

Training quantum Boltzmann machines with the β-variational quantum eigensolver.

Onno Huijgen, Luuk Coopmans, Peyman Najafi, Marcello Benedetti, Hilbert J. Kappen

Mach. Learn. Sci. Technol., 2024

2023

Bayesian learning of parameterised quantum circuits.

Samuel Duffield, Marcello Benedetti, Matthias Rosenkranz

Mach. Learn. Sci. Technol., June, 2023

2021

Structure optimization for parameterized quantum circuits.

Mateusz Ostaszewski, Edward Grant, Marcello Benedetti

Quantum, 2021

F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits.

Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti

Entropy, 2021

Variational inference with a quantum computer.

Marcello Benedetti, Brian Coyle, Mattia Fiorentini, Michael Lubasch, Matthias Rosenkranz

CoRR, 2021

2019

Quantum-classical generative models for machine learning.

Marcello Benedetti

PhD thesis, 2019

An initialization strategy for addressing barren plateaus in parametrized quantum circuits.

Edward Grant, Leonard Wossnig, Mateusz Ostaszewski, Marcello Benedetti

Quantum, 2019

Parameterized quantum circuits as machine learning models.

Marcello Benedetti, Erika Lloyd, Stefan H. Sack

CoRR, 2019

2017

Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices.

Marcello Benedetti, John Realpe-Gómez, Alejandro Perdomo-Ortiz

CoRR, 2017

Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers.

Alejandro Perdomo-Ortiz, Marcello Benedetti, John Realpe-Gómez, Rupak Biswas

CoRR, 2017

2016

Quantum-assisted learning of graphical models with arbitrary pairwise connectivity.

Marcello Benedetti, John Realpe-Gomez, Rupak Biswas, Alejandro Perdomo-Ortiz

CoRR, 2016

2015

Tracing the Paths between Concepts in Large Bio-Medical Corpora.

Zaruhi Alaverdyan, Marcello Benedetti, Falitokiniaina Rabearison, Nishara Pathirana, Costin-Gabriel Chiru, Traian Rebedea

Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015