Martin Larocca

Martin Larocca

Universidad de Buenos Aires

H-index: 11

Latin America-Argentina

About Martin Larocca

Martin Larocca, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidad de Buenos Aires, specializes in the field of Quantum Machine Learning, Quantum Computation, Quantum Optimal Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Effects of noise on the overparametrization of quantum neural networks

Connecting channel expressiveness to gradient magnitudes and noise induced barren plateaus

Theoretical guarantees for permutation-equivariant quantum neural networks

Building spatial symmetries into parameterized quantum circuits for faster training

Why bigger quantum neural networks do better

Theory of overparametrization in quantum neural networks

Deep quantum neural networks form Gaussian processes

On the universality of -equivariant -body gates

Martin Larocca Information

University

Position

PhD Student Department of Physics FCEyN Argentina

Citations(all)

623

Citations(since 2020)

620

Cited By

33

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Martin Larocca Skills & Research Interests

Quantum Machine Learning

Quantum Computation

Quantum Optimal Control

Top articles of Martin Larocca

Effects of noise on the overparametrization of quantum neural networks

Physical Review Research

2024/3/18

Martin Larocca
Martin Larocca

H-Index: 3

Connecting channel expressiveness to gradient magnitudes and noise induced barren plateaus

Bulletin of the American Physical Society

2024/3/7

Martin Larocca
Martin Larocca

H-Index: 3

Theoretical guarantees for permutation-equivariant quantum neural networks

npj Quantum Information

2024/1/22

Martin Larocca
Martin Larocca

H-Index: 3

Building spatial symmetries into parameterized quantum circuits for faster training

Quantum Science and Technology

2024/1/4

Martin Larocca
Martin Larocca

H-Index: 3

Why bigger quantum neural networks do better

Nature Computational Science

2023/6

Martin Larocca
Martin Larocca

H-Index: 3

Theory of overparametrization in quantum neural networks

Nature Computational Science

2023/6

Martin Larocca
Martin Larocca

H-Index: 3

Deep quantum neural networks form Gaussian processes

arXiv preprint arXiv:2305.09957

2023/5/17

Martin Larocca
Martin Larocca

H-Index: 3

On the universality of -equivariant -body gates

arXiv preprint arXiv:2303.00728

2023/3/1

Martin Larocca
Martin Larocca

H-Index: 3

The landscape of max-cut qaoa lie algebras

APS March Meeting Abstracts

2023

Martin Larocca
Martin Larocca

H-Index: 3

Marco Farinati
Marco Farinati

H-Index: 5

Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing

arXiv preprint arXiv:2312.09121

2023/12/14

Martin Larocca
Martin Larocca

H-Index: 3

Enrico Fontana
Enrico Fontana

H-Index: 3

Symmetric derivatives of parametrized quantum circuits

arXiv preprint arXiv:2312.06752

2023/12/11

Showcasing a barren plateau theory beyond the dynamical lie algebra

arXiv preprint arXiv:2310.11505

2023/10/17

Martin Larocca
Martin Larocca

H-Index: 3

Diabatic quantum annealing for the frustrated ring model

Quantum Science and Technology

2023/10/6

A unified theory of barren plateaus for deep parametrized quantum circuits

arXiv preprint arXiv:2309.09342

2023/9/17

Frédéric Sauvage
Frédéric Sauvage

H-Index: 22

Martin Larocca
Martin Larocca

H-Index: 3

Parallel-in-time quantum simulation via Page and Wootters quantum time

arXiv preprint arXiv:2308.12944

2023/8/24

Martin Larocca
Martin Larocca

H-Index: 3

Lie-algebraic classical simulations for variational quantum computing

arXiv preprint arXiv:2308.01432

2023/8/2

Martin Larocca
Martin Larocca

H-Index: 3

Frédéric Sauvage
Frédéric Sauvage

H-Index: 22

Loschmidt-echo approach to error estimation in Krylov-subspace approximation

Physical Review A

2022/10/18

Theory for equivariant quantum neural networks

arXiv preprint arXiv:2210.08566

2022/10/16

Martin Larocca
Martin Larocca

H-Index: 3

Representation theory for geometric quantum machine learning

2022/10/14

Martin Larocca
Martin Larocca

H-Index: 3

Diagnosing barren plateaus with tools from quantum optimal control

Quantum

2022/9/29

Martin Larocca
Martin Larocca

H-Index: 3

Kunal Sharma
Kunal Sharma

H-Index: 9

See List of Professors in Martin Larocca University(Universidad de Buenos Aires)

Co-Authors

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