Martin Larocca

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Quantum Computing

Top Venues

Nat. Comput. Sci.

Publications

Alice Barthe, Marco Cerezo, Andrew T. Sornborger, Martin Larocca, Diego García-Martín
Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes. CoRR (2024)
Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo
A Review of Barren Plateaus in Variational Quantum Computing. CoRR (2024)
Diego García-Martín, Martin Larocca, Marco Cerezo
Deep quantum neural networks form Gaussian processes. CoRR (2023)
Diego García-Martín, Martin Larocca, Marco Cerezo
Effects of noise on the overparametrization of quantum neural networks. CoRR (2023)
Sujay Kazi, Martin Larocca, Marco Cerezo
-equivariant k-body gates. CoRR (2023)
Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo
Theory of overparametrization in quantum neural networks. Nat. Comput. Sci. 3 (6) (2023)
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
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. CoRR (2023)
Martin Larocca, Frederic Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, Marco Cerezo
Group-Invariant Quantum Machine Learning. CoRR (2022)
Martin Larocca, Piotr Czarnik, Kunal Sharma, Gopikrishnan Muraleedharan, Patrick J. Coles, Marco Cerezo
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control. Quantum 6 (2022)
Louis Schatzki, Martin Larocca, Frederic Sauvage, Marco Cerezo
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks. CoRR (2022)
Quynh T. Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo
Theory for Equivariant Quantum Neural Networks. CoRR (2022)
Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo
Representation Theory for Geometric Quantum Machine Learning. CoRR (2022)
Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, M. Cerezo
Theory of overparametrization in quantum neural networks. CoRR (2021)