Elies Gil-Fuster emgilfuster <at] gmail (dot} com

A central challenge in quantum machine learning is understanding the scaling behavior of parameterized quantum circuits (PQCs). In particular, it remains unclear how their performance on unseen data c...

Quantum error correction (QEC) is a hot research topic among quantum computing researchers. This is a short analysis of just how popular QEC is.

How AI could destroy mathematics and barely touch it

Generalization is a central concept in machine learning theory, yet for quantum models, it is predominantly analyzed through uniform bounds that depend on a model's overall capacity rather than the sp...