引用次数
引用: 8,189
H-指数: 35
I10-指数 : 55
出版物: 78
Variational Quantum Algorithms
Marco Cerezo , Andrew Arrasmith , Ryan Babbush , Simon C Benjamin
arXiv: Quantum Physics
980
2020
Barren Plateau Issues for Variational Quantum-Classical Algorithms
Lukasz Cincio , Patrick Coles , Akira Sone , Marco Cerezo
Bulletin of the American Physical Society
1
2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Lukasz Cincio , Patrick Coles , Kunal Sharma , Akira Sone
Bulletin of the American Physical Society
292
2020
Higher order derivatives of quantum neural networks with barren plateaus
Patrick J Coles , Marco Cerezo
Quantum Science and Technology
72
2021
Sub-quantum Fisher information
Patrick J Coles , Akira Sone , Marco Cerezo , Jacob L Beckey
Quantum Science and Technology
5
2021
Variational Quantum Fidelity Estimation
Marco Cerezo , Alexander Poremba , Lukasz Cincio , Patrick J. Coles
Quantum 4 248
97
2020
Diagnosing barren plateaus with tools from quantum optimal control
Martin Larocca , Piotr Czarnik , Kunal Sharma , Gopikrishnan Muraleedharan
Quantum 6 824
49
2022
Group-invariant quantum machine learning
Martín Larocca , Frédéric Sauvage , Faris M Sbahi , Guillaume Verdon
PRX Quantum 3 ( 3) 030341
30
2022
Generalization in quantum machine learning from few training data
Matthias C Caro , Hsin-Yuan Huang , Marco Cerezo , Kunal Sharma
Nature communications 13 ( 1) 4919
50
2022
Optimizing parametrized quantum circuits via noise-induced breaking of symmetries
Enrico Fontana , Marco Cerezo , Andrew Arrasmith , Ivan Rungger
arXiv preprint arXiv:2011.08763 55
19
2020
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
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp , Samson Wang , Nhat Anh Nghiem , Patrick Coles
Quantum Machine Intelligence 5 ( 1) 21 -21
50
2023
Variational quantum linear solver
Carlos Bravo-Prieto , Ryan LaRose , Marco Cerezo , Yigit Subasi
Quantum 7 1188 -1188
309
2023
Theory of overparametrization in quantum neural networks
Martin Larocca , Nathan Ju , Diego García-Martín , Patrick J Coles
Nature Computational Science 3 ( 6) 542 -551
149
2023
Can error mitigation improve trainability of noisy variational quantum algorithms?
Samson Wang , Piotr Czarnik , Andrew Arrasmith , Marco Cerezo
Quantum 8 1287 -1287
60
2024
Variational hamiltonian diagonalization for dynamical quantum simulation
Benjamin Commeau , Marco Cerezo , Zoë Holmes , Lukasz Cincio
arXiv preprint arXiv:2009.02559
59
2020
Entangled datasets for quantum machine learning
Louis Schatzki , Andrew Arrasmith , Patrick J Coles , Marco Cerezo
arXiv preprint arXiv:2109.03400
54
2021
Unifying and benchmarking state-of-the-art quantum error mitigation techniques
Daniel Bultrini , Max Hunter Gordon , Piotr Czarnik , Andrew Arrasmith
Quantum 7 1034 -1034
37
2023
Building spatial symmetries into parameterized quantum circuits for faster training
Frederic Sauvage , Martin Larocca , Patrick J Coles , Marco Cerezo
Quantum Science and Technology 9 ( 1) 015029 -015029
34
2024
Impact of barren plateaus on the hessian and higher order derivatives
Marco Cerezo , Patrick J Coles
arXiv e-prints arXiv: 2008.07454 -arXiv: 2008.07454
24
2020