Martin Larocca
机构: Postdoc, Los Alamos National Laboratory
每年引用次数
引用次数
引用: 990
H-指数: 13
I10-指数 : 21
出版物: 36
Diagnosing barren plateaus with tools from quantum optimal control
Martin Larocca , Piotr Czarnik , Kunal Sharma , Gopikrishnan Muraleedharan
Quantum 6 824
49
2022
Effects of noise on the overparametrization of quantum neural networks
Diego García-Martín , Martin Larocca , M Cerezo
arXiv preprint arXiv:2302.05059
2023
Theory for equivariant quantum neural networks
Quynh T Nguyen , Louis Schatzki , Paolo Braccia , Michael Ragone
arXiv preprint arXiv:2210.08566
11
2022
Representation theory for geometric quantum machine learning
Michael Ragone , Paolo Braccia , Quynh T Nguyen , Louis Schatzki
arXiv preprint arXiv:2210.07980
9
2022
A review of barren plateaus in variational quantum computing
Martin Larocca , Supanut Thanasilp , Samson Wang , Kunal Sharma
arXiv preprint arXiv:2405.00781
4
2024
A Unified Theory of Barren Plateaus for Deep Parametrized Quantum Circuits
Michael Ragone , Bojko N Bakalov , Frédéric Sauvage , Alexander F Kemper
arXiv preprint arXiv:2309.09342
53
2023
Parallel-in-time quantum simulation via Page and Wootters quantum time
NL Diaz , Paolo Braccia , Martin Larocca , JM Matera
arXiv preprint arXiv:2308.12944
6
2023
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
M Cerezo , Martin Larocca , Diego García-Martín , NL Diaz
arXiv preprint arXiv:2312.09121
46
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
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
The landscape of max-cut qaoa lie algebras
Sujay Kazi , Martin Larocca , Robert Zeier , Marco Farinati
APS March Meeting Abstracts 2023 Z70. 007 -Z70. 007
1
2023
Diagnosing barren plateaus with tools from quantum optimal control
Marco Cerezo , Piotr Czarnik , Kunal Sharma , Gopikrishnan Muraleedharan
APS March Meeting Abstracts 2022 T37. 004 -T37. 004
2022
Theoretical guarantees for permutation-equivariant quantum neural networks
Louis Schatzki , Martin Larocca , Quynh T Nguyen , Frederic Sauvage
npj Quantum Information 10 ( 1) 12 -12
52
2024
Connecting channel expressiveness to gradient magnitudes and noise induced barren plateaus
Matthew Duschenes , Diego García-Martín , Martin Larocca , Zoe Holmes
Bulletin of the American Physical Society
2024
Lie-algebraic classical simulations for variational quantum computing
Matthew L Goh , Martin Larocca , Lukasz Cincio , M Cerezo
arXiv preprint arXiv:2308.01432
16
2023
On the universality of sn-equivariant k-body gates
Sujay Kazi , Martin Larocca , Marco Cerezo
New Journal of Physics 26 ( 5) 053030 -053030
13
2024
Showcasing a barren plateau theory beyond the dynamical lie algebra
NL Diaz , Diego García-Martín , Sujay Kazi , Martin Larocca
arXiv preprint arXiv:2310.11505
13
2023
Deep quantum neural networks form Gaussian processes
Diego García-Martín , Martin Larocca , Marco Cerezo
arXiv preprint arXiv:2305.09957
10
2023
Why bigger quantum neural networks do better
Martin Larocca , Marco Cerezo
Nature Computational Science 3 ( 6) 484 -485
2023
Representation theory for geometric quantum machine learning (2023)
Michael Ragone , Paolo Braccia , Quynh T Nguyen , Louis Schatzki
arXiv preprint arXiv:2210.07980
13