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Martin Larocca
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Diagnosing barren plateaus with tools from quantum optimal control
M Larocca, P Czarnik, K Sharma, G Muraleedharan, PJ Coles, M Cerezo
Quantum 6, 824, 2022
1392022
Theory of overparametrization in quantum neural networks
M Larocca, N Ju, D García-Martín, PJ Coles, M Cerezo
Nature Computational Science 3 (6), 542-551, 2023
1262023
Group-invariant quantum machine learning
M Larocca, F Sauvage, FM Sbahi, G Verdon, PJ Coles, M Cerezo
PRX Quantum 3 (3), 030341, 2022
952022
Theory for equivariant quantum neural networks
QT Nguyen, L Schatzki, P Braccia, M Ragone, PJ Coles, F Sauvage, ...
arXiv preprint arXiv:2210.08566, 2022
572022
Representation theory for geometric quantum machine learning
M Ragone, P Braccia, QT Nguyen, L Schatzki, PJ Coles, F Sauvage, ...
arXiv preprint arXiv:2210.07980, 2022
502022
Theoretical guarantees for permutation-equivariant quantum neural networks
L Schatzki, M Larocca, QT Nguyen, F Sauvage, M Cerezo
npj Quantum Information 10 (1), 12, 2024
452024
Quantum control landscape for a two-level system near the quantum speed limit
M Larocca, PM Poggi, DA Wisniacki
Journal of Physics A: Mathematical and Theoretical 51 (38), 385305, 2018
362018
A unified theory of barren plateaus for deep parametrized quantum circuits
M Ragone, BN Bakalov, F Sauvage, AF Kemper, CO Marrero, M Larocca, ...
arXiv preprint arXiv:2309.09342, 2023
332023
Quantum metrology in a non-Markovian quantum evolution
N Mirkin, M Larocca, D Wisniacki
Physical Review A 102 (2), 022618, 2020
312020
Building spatial symmetries into parameterized quantum circuits for faster training
F Sauvage, M Larocca, PJ Coles, M Cerezo
Quantum Science and Technology 9 (1), 015029, 2024
262024
Exploiting landscape geometry to enhance quantum optimal control
M Larocca, E Calzetta, DA Wisniacki
Physical Review A 101 (2), 023410, 2020
242020
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
M Cerezo, M Larocca, D García-Martín, NL Diaz, P Braccia, E Fontana, ...
arXiv preprint arXiv:2312.09121, 2023
202023
Lie-algebraic classical simulations for variational quantum computing
ML Goh, M Larocca, L Cincio, M Cerezo, F Sauvage
arXiv preprint arXiv:2308.01432, 2023
112023
Representation theory for geometric quantum machine learning (2023)
M Ragone, P Braccia, QT Nguyen, L Schatzki, PJ Coles, F Sauvage, ...
arXiv preprint arXiv:2210.07980, 0
11
Diagnosing barren plateaus with tools from quantum optimal control. 2021
M Larocca, P Czarnik, K Sharma, G Muraleedharan, PJ Coles, M Cerezo
arXiv preprint arXiv:2105.14377, 0
11
Krylov-subspace approach for the efficient control of quantum many-body dynamics
M Larocca, D Wisniacki
Physical Review A 103 (2), 023107, 2021
102021
Theoretical guarantees for permutation-equivariant quantum neural networks (2022)
L Schatzki, M Larocca, QT Nguyen, F Sauvage, M Cerezo
arXiv preprint arXiv:2210.09974, 0
9
Theory of overparametrization in quantum neural networks, 2021
M Larocca, N Ju, D García-Martín, PJ Coles, M Cerezo
URL https://arxiv. org/abs/2109.11676, 0
9
Deep quantum neural networks form Gaussian processes
D García-Martín, M Larocca, M Cerezo
arXiv preprint arXiv:2305.09957, 2023
82023
Effects of noise on the overparametrization of quantum neural networks
D García-Martín, M Larocca, M Cerezo
Physical Review Research 6 (1), 013295, 2024
72024
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