1 citations · 1 across the 6 of their papers we have counts for
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Resource-bounded controllability benchmarking of open quantum systems
Yule Mayevsky, Akram Youssry, Alberto Peruzzo
This paper develops a resource-bounded framework for evaluating practical controllability in open quantum systems using a trained graybox response model. Rather than treating contr…
Bayesian quantum sensing using graybox machine learning
Akram Youssry, Stefan Todd, Patrick Murton +4
Quantum sensors offer significant advantages over classical devices in spatial resolution and sensitivity, enabling transformative applications across materials science, healthcare…
Singularity-free dynamical invariants-based quantum control
Ritik Sareen, Akram Youssry, Alberto Peruzzo
State preparation is a cornerstone of quantum technologies, underpinning applications in computation, communication, and sensing. Its importance becomes even more pronounced in non…
Quantum nonlinear parametric interaction in realistic waveguides: a comprehensive study
Tim F. Weiss, Akram Youssry, Alberto Peruzzo
Nonlinear sources of quantum light are foundational to nearly all optical quantum technologies and are actively advancing toward real-world deployment. Achieving this goal requires…
Quantum Engineering of Qudits with Interpretable Machine Learning
Yule Mayevsky, Akram Youssry, Ritik Sareen +2
Higher-dimensional quantum systems (qudits) offer advantages in information encoding, error resilience, and compact gate implementations, and naturally arise in platforms such as s…
Quantum Feature Space of a Qubit Coupled to an Arbitrary Bath
Chris Wise, Akram Youssry, Alberto Peruzzo +2
Qubit control protocols have traditionally leveraged a characterisation of the qubit-bath coupling via its power spectral density. Previous work proposed the inference of noise ope…