6 papers
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…
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…
Bayesian quantum sensing using graybox machine learning
Akram Youssry, Stefan Todd, Patrick Murton +3
Quantum sensors offer significant advantages over classical devices in spatial resolution and sensitivity, enabling transformative applications across materials science, healthcare…
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…
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…