Martin Larocca

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
High-dimensional quantum Schur transforms.
CoRR
Adam Burchardt, Jiani Fei, Dmitry Grinko, Martin Larocca, Maris Ozols, Sydney Timmerman, Vladyslav Visnevskyi
2024 J jnl
A Review of Barren Plateaus in Variational Quantum Computing.
CoRR
Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo
2024 J jnl
Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes.
CoRR
Alice Barthe, Marco Cerezo, Andrew T. Sornborger, Martin Larocca, Diego García-Martín
2024 J jnl
Random ensembles of symplectic and unitary states are indistinguishable.
CoRR
Maxwell West, Antonio Anna Mele, Martin Larocca, Marco Cerezo
2023 J jnl
Deep quantum neural networks form Gaussian processes.
CoRR
Diego García-Martín, Martin Larocca, Marco Cerezo
2023 J jnl
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing.
CoRR
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
2023 J jnl
Effects of noise on the overparametrization of quantum neural networks.
CoRR
Diego García-Martín, Martin Larocca, Marco Cerezo
2023 J jnl
On the universality of S
CoRR
Sujay Kazi, Martin Larocca, Marco Cerezo
2023 J jnl
Theory of overparametrization in quantum neural networks.
Nat. Comput. Sci.
Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo
2022 J jnl
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control.
Quantum
Martin Larocca, Piotr Czarnik, Kunal Sharma, Gopikrishnan Muraleedharan, Patrick J. Coles, Marco Cerezo
2022 J jnl
Group-Invariant Quantum Machine Learning.
CoRR
Martin Larocca, Frederic Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, Marco Cerezo
2022 J jnl
Representation Theory for Geometric Quantum Machine Learning.
CoRR
Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo
2022 J jnl
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks.
CoRR
Louis Schatzki, Martin Larocca, Frederic Sauvage, Marco Cerezo
2022 J jnl
Theory for Equivariant Quantum Neural Networks.
CoRR
Quynh T. Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo
2021 J jnl
Theory of overparametrization in quantum neural networks.
CoRR
Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo