Author

Carlos Bravo-Prieto

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Preprint Sep 2026

Testing quantum Gaussianity with constant sample complexity

Efficiently testing whether a quantum state possesses a given structure is both a fundamental and a practical task in quantum information. Among the most important structured families are Gaussian states, which underpin quantum optics and many-body physics while defining paradigmatic regimes of efficient classical simu...

Mahtab Yaghubi Rad, Ricard Puig, Saksham Hassanandani et al. · 2 citations

Preprint Sep 2026

An Optimal Quantum Linear Systems Algorithm

In the quantum linear systems problem (QLSP), we are given query access to a $d$-sparse $N\times N$ matrix $A$ with condition number $\kappa$, and the ability to prepare a quantum state proportional to a vector $\vec b$. The goal is to output an $\epsilon$-approximation to the quantum state proportional to the solution...

Carlos Bravo-Prieto, A. Harrow, Robin Kothari · 2 citations · ⚡1

Jul 2026

Cautious optimism for deep parameterized quantum circuits

It is shown that gradient-based PQCs can exhibit improved performance on unseen data as model size increases, displaying the phenomenon of double descent, which contrasts with the traditional view that larger models lead to degraded generalization.

Marie C. Kempkes, Elies Gil-Fuster, Carlos Bravo-Prieto et al. · arXiv.org · 0 citations