引用次数
引用: 1,494
H-指数: 14
I10-指数 : 15
出版物: 28
A quantum algorithm to train neural networks using low-depth circuits
Jacob Biamonte , Guillaume Verdon , Michael Broughton
arXiv: Quantum Physics
86
2017
A Universal Training Algorithm for Quantum Deep Learning
Jason Pye , Guillaume Verdon , Michael Broughton
Bulletin of the American Physical Society 2019
90
2019
Learning to learn with quantum neural networks via classical neural networks
Ryan Babbush , Hartmut Neven , Jarrod Ryan McClean , Masoud Mohseni
arXiv: Quantum Physics
134
2019
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
Stefan Leichenauer , Jacob Marks , Guillaume Verdon , Jack Hidary
arXiv: Quantum Physics
61
2019
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Michael Broughton , Guillaume Verdon , Trevor McCourt , Antonio J Martinez
arXiv: Quantum Physics
254
2020
Group-invariant quantum machine learning
Martín Larocca , Frédéric Sauvage , Faris M Sbahi , Guillaume Verdon
PRX Quantum 3 ( 3) 030341
30
2022
Challenges and opportunities in quantum machine learning
Marco Cerezo , Guillaume Verdon , Hsin-Yuan Huang , Lukasz Cincio
Nature Computational Science 2 ( 9) 567 -576
22
2022
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry
Faris M Sbahi , Antonio J Martinez , Sahil Patel , Dmitri Saberi
arXiv preprint arXiv:2206.04663
2022
Quantum hamiltonian-based models and the variational quantum thermalizer algorithm (2019)
Guillaume Verdon , Jacob Marks , Sasha Nanda , Stefan Leichenauer
arXiv preprint arXiv:1910.02071 25
18
1910
Quantum Graph Neural Networks
Guillaume Verdon , Trevor McCourt , Enxhell Luzhnica , Vikash Singh
arXiv preprint arXiv:1909.12264
2019
A semi-agnostic ansatz with variable structure for quantum machine learning
M Bilkis , Marco Cerezo , Guillaume Verdon , Patrick J Coles
arXiv preprint arXiv:2103.06712
55
2021
Tensorflow quantum: a software framework for quantum machine learning. 2020
Michael Broughton , Guillaume Verdon , Trevor McCourt , Antonio J Martinez
arXiv preprint arXiv:2003.02989
43
2003
A quantum approximate optimization algorithm for continuous problems
Guillaume Verdon , Juan Miguel Arrazola , Kamil Brádler , Nathan Killoran
arXiv preprint arXiv:1902.00409
36
2019
A quantum algorithm to train neural networks using low-depth circuits (2017)
Guillaume Verdon , Michael Broughton , Jacob Biamonte
arXiv preprint arXiv:1712.05304
10
2017
A semi-agnostic ansatz with variable structure for variational quantum algorithms
Matias Bilkis , Marco Cerezo , Guillaume Verdon , Patrick J Coles
Quantum Machine Intelligence 5 ( 2) 43 -43
3
2023
Quantum Dynamical Hamiltonian Monte Carlo
Owen Lockwood , Peter Weiss , Filip Aronshtein , Guillaume Verdon
arXiv preprint arXiv:2403.01775
1
2024
Generative Modelling of Quantum Processes via Quantum-Probabilistic Information Geometry
Sahil Patel , Faris Sbahi , Antonio Martinez , Dmitri Saberi
2022
Quantum repeater from quantum analog-digital interconverter
Guillaume Verdon-Akzam
23
2022
Asymptotically limitless quantum energy teleportation via qudit probes
Guillaume Verdon-Akzam , Eduardo Martin-Martinez , Achim Kempf
Phys. Rev. A 93 ( 2) 022308 -022308
15
2016
Quantum analog-digital interconversion for encoding and decoding quantum signals
Guillaume Verdon-Akzam
6
2022