Követés
Guillaume Verdon
Guillaume Verdon
Research Scientist - Alphabet X
E-mail megerősítve itt: google.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Tensorflow quantum: A software framework for quantum machine learning
M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ...
arXiv preprint arXiv:2003.02989, 2020
3692020
Challenges and opportunities in quantum machine learning
M Cerezo, G Verdon, HY Huang, L Cincio, PJ Coles
Nature Computational Science 2 (9), 567-576, 2022
2722022
Quantum Graph Neural Networks
G Verdon, T McCourt, E Luzhnica, V Singh, S Leichenauer, J Hidary
arXiv preprint arXiv:1909.12264, 2019
189*2019
Learning to learn with quantum neural networks via classical neural networks
G Verdon, M Broughton, JR McClean, KJ Sung, R Babbush, Z Jiang, ...
arXiv preprint arXiv:1907.05415, 2019
1892019
A universal training algorithm for quantum deep learning
G Verdon, J Pye, M Broughton
arXiv preprint arXiv:1806.09729, 2018
1172018
Group-invariant quantum machine learning
M Larocca, F Sauvage, FM Sbahi, G Verdon, PJ Coles, M Cerezo
PRX Quantum 3 (3), 030341, 2022
1092022
A quantum algorithm to train neural networks using low-depth circuits
G Verdon, M Broughton, J Biamonte
arXiv preprint arXiv:1712.05304, 2017
1022017
Quantum Hamiltonian-based models and the variational quantum thermalizer algorithm
G Verdon, J Marks, S Nanda, S Leichenauer, J Hidary
arXiv preprint arXiv:1910.02071, 2019
852019
A semi-agnostic ansatz with variable structure for quantum machine learning
M Bilkis, M Cerezo, G Verdon, PJ Coles, L Cincio
arXiv preprint arXiv:2103.06712, 2021
552021
Tensorflow quantum: a software framework for quantum machine learning. 2020
M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ...
arXiv preprint arXiv:2003.02989, 2003
442003
A quantum approximate optimization algorithm for continuous problems
G Verdon, JM Arrazola, K Brádler, N Killoran
arXiv preprint arXiv:1902.00409, 2019
362019
Quantum repeater from quantum analog-digital interconverter
G Verdon-Akzam
US Patent 11,526,797, 2022
232022
Quantum hamiltonian-based models and the variational quantum thermalizer algorithm (2019)
G Verdon, J Marks, S Nanda, S Leichenauer, J Hidary
arXiv preprint arXiv:1910.02071 25, 1910
181910
Tensorflow quantum: A software framework for quantum machine learning. arXiv 2020
M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ...
arXiv preprint arXiv:2003.02989, 2003
172003
Asymptotically limitless quantum energy teleportation via qudit probes
G Verdon-Akzam, E Martin-Martinez, A Kempf
Phys. Rev. A 93 (2), 022308, 2016
152016
A quantum algorithm to train neural networks using low-depth circuits (2017)
G Verdon, M Broughton, J Biamonte
arXiv preprint arXiv:1712.05304, 2017
102017
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry
FM Sbahi, AJ Martinez, S Patel, D Saberi, JH Yoo, G Roeder, G Verdon
arXiv preprint arXiv:2206.04663, 2022
82022
From long-distance entanglement to building a nationwide quantum internet: Report of the DOE quantum internet blueprint workshop
D Awschalom
Brookhaven National Lab.(BNL), Upton, NY (United States), 2020
72020
Quantum analog-digital interconversion for encoding and decoding quantum signals
G Verdon-Akzam
US Patent 11,308,415, 2022
62022
Preparing and converting gottesman-kitaev-preskill states
G Verdon-Akzam
US Patent App. 17/063,660, 2021
42021
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Cikkek 1–20