Author

A. Peruzzo

2 papers indexed here

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Preprint Aug 2026

Resource-bounded controllability benchmarking of open quantum systems

This paper develops a resource-bounded framework for evaluating practical controllability in open quantum systems using a trained graybox response model. Rather than treating controllability as a binary property of an idealised Hamiltonian model, the proposed approach evaluates the best-achievable process fidelity over...

Yule Mayevsky, Akram Youssry, A. Peruzzo · 1 citation

#machine learning Jan 2026

Bayesian quantum sensing using graybox machine learning

The graybox framework integrates a physics-based system model with a data-driven description of experimental imperfections, achieving higher fidelity than purely analytical (whitebox) approaches while requiring fewer training resources than fully deep-learning blackbox models.

Akram Youssry, S. Todd, Patrick D. F. Murton et al. · arXiv.org · 1 citation