Martin Larocca

According to our database, Martin Larocca authored at least 10 papers between 2022 and 2023.

Collaborative distances:

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

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. Anschuetz, 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