228 citations · 1.5k across the 45 of their papers we have counts for
3 papers · 1 filter
Theory of overparametrization in quantum neural networks
Martin Larocca, Nathan Ju, Diego García-Martín +2
The prospect of achieving quantum advantage with Quantum Neural Networks (QNNs) is exciting. Understanding how QNN properties (e.g., the number of parameters ) affect the loss l…
Loschmidt echo approach to Krylov-subspace approximation error estimation
Julian Ruffinelli, Emiliano Fortes, Martín Larocca +1
The Krylov subspace method is a standard approach to approximate quantum evolution, allowing to treat systems with large Hilbert spaces. Although its application is general, and su…
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
Martin Larocca, Piotr Czarnik, Kunal Sharma +3
Variational Quantum Algorithms (VQAs) have received considerable attention due to their potential for achieving near-term quantum advantage. However, more work is needed to underst…