Guillaume Verdon

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Quantum Computation

Machine Learning

Top Venues

Nat. Comput. Sci.

Quantum Mach. Intell.

Publications

Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
Challenges and Opportunities in Quantum Machine Learning. CoRR (2023)
M. Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio
A semi-agnostic ansatz with variable structure for variational quantum algorithms. Quantum Mach. Intell. 5 (2) (2023)
Martin Larocca, Frederic Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, Marco Cerezo
Group-Invariant Quantum Machine Learning. CoRR (2022)
Faris M. Sbahi, Antonio J. Martinez, Sahil Patel, Dmitri Saberi, Jae Hyeon Yoo, Geoffrey Roeder, Guillaume Verdon
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry. CoRR (2022)
Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
Challenges and opportunities in quantum machine learning. Nat. Comput. Sci. 2 (9) (2022)
M. Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio
A semi-agnostic ansatz with variable structure for quantum machine learning. CoRR (2021)
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR (2020)
Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica, Vikash Singh, Stefan Leichenauer, Jack Hidary
Quantum Graph Neural Networks. CoRR (2019)
Guillaume Verdon, Jacob Marks, Sasha Nanda, Stefan Leichenauer, Jack Hidary
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm. CoRR (2019)
Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni
Learning to learn with quantum neural networks via classical neural networks. CoRR (2019)