Martin Larocca

According to our database, Martin Larocca authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

High-dimensional quantum Schur transforms.

Adam Burchardt, Jiani Fei, Dmitry Grinko, Martin Larocca, Maris Ozols, Sydney Timmerman, Vladyslav Visnevskyi

CoRR, September, 2025

2024

Random ensembles of symplectic and unitary states are indistinguishable.

Maxwell West, Antonio Anna Mele, Martin Larocca, Marco Cerezo

CoRR, 2024

Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes.

Alice Barthe, Marco Cerezo, Andrew T. Sornborger, Martin Larocca, Diego García-Martín

CoRR, 2024

A Review of Barren Plateaus in Variational Quantum Computing.

Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo

CoRR, 2024

2023

Theory of overparametrization in quantum neural networks.

Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo

Nat. Comput. Sci., 2023

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

Marco Cerezo, Martin Larocca, Diego García-Martín, Nelson L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschütz, Zoë Holmes

CoRR, 2023

Deep quantum neural networks form Gaussian processes.

Diego García-Martín, Martin Larocca, Marco Cerezo

CoRR, 2023

On the universality of S_n-equivariant k-body gates.

Sujay Kazi, Martin Larocca, Marco Cerezo

CoRR, 2023

Effects of noise on the overparametrization of quantum neural networks.

Diego García-Martín, Martin Larocca, Marco Cerezo

CoRR, 2023

2022

Diagnosing Barren Plateaus with Tools from Quantum Optimal Control.

Martin Larocca, Piotr Czarnik, Kunal Sharma, Gopikrishnan Muraleedharan, Patrick J. Coles, Marco Cerezo

Quantum, September, 2022

Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks.

Louis Schatzki, Martin Larocca, Frederic Sauvage, Marco Cerezo

CoRR, 2022

Theory for Equivariant Quantum Neural Networks.

Quynh T. Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo

CoRR, 2022

Representation Theory for Geometric Quantum Machine Learning.

Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo

CoRR, 2022

Group-Invariant Quantum Machine Learning.

Martin Larocca, Frederic Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, Marco Cerezo

CoRR, 2022