252 citations · 397 across the 19 of their papers we have counts for
21 papers
Dynamical Decoupling of Nonclassical States in a Biased-Noise Spin Qudit
Arjen Vaartjes, Namit Anand, Rocky Y. Su +16
Encoding quantum information in -dimensional systems (qudits) with offers appealing new directions for resource-efficient quantum computing. However, protecting the cohere…
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…
Programmable photonic waveguide arrays: opportunities and challenges
Yang Yang, Akram Youssry, Alberto Peruzzo
The rising complexity of photonic applications, ranging from quantum computing to neuromorphic processing, has driven the demand for highly programmable and scalable photonic integ…
Universal programmable waveguide arrays
Akram Youssry, Alberto Peruzzo
Implementing arbitrary unitary transformations is crucial for applications in quantum computing, signal processing, and machine learning. Unitaries govern quantum state evolution,…
Model-free Distortion Canceling and Control of Quantum Devices
Ahmed F. Fouad, Akram Youssry, Ahmed El-Rafei +1
Quantum devices need precise control to achieve their full capability. In this work, we address the problem of controlling closed quantum systems, tackling two main issues. First,…
Programmable quantum circuits in a large-scale photonic waveguide array
Yang Yang, Robert J. Chapman, Akram Youssry +4
Over the past decade, integrated quantum photonic technologies have shown great potential as a platform for studying quantum phenomena and realizing large-scale quantum information…
A fixed phase tunable directional coupler based on coupling tuning
Yang Yang, Tim Weiss, Hamed Arianfard +2
The field of photonic integrated circuits has witnessed significant progress in recent years, with a growing demand for devices that offer high-performance reconfigurability. Due t…
Quantum control in the presence of strongly coupled non-Markovian noise
Arinta Auza, Akram Youssry, Gerardo Paz-Silva +1
Controlling quantum systems under correlated non-Markovian noise, particularly when strongly coupled, poses significant challenges in the development of quantum technologies. Tradi…
Multi-Axis Control of a Qubit in the Presence of Unknown Non-Markovian Quantum Noise
Akram Youssry, Hendra I. Nurdin
In this paper, we consider the problem of open-loop control of a qubit that is coupled to an unknown fully quantum non-Markovian noise (either bosonic or fermionic). A graybox mode…
Experimental graybox quantum system identification and control
Akram Youssry, Yang Yang, Robert J. Chapman +4
Understanding and controlling engineered quantum systems is key to developing practical quantum technology. However, given the current technological limitations, such as fabricatio…
Efficient Quantum State Tracking in Noisy Environments
Markus Rambach, Akram Youssry, Marco Tomamichel +1
Quantum state tomography, which aims to find the best description of a quantum state -- the density matrix, is an essential building block in quantum computation and communication.…
Precision tomography of a three-qubit donor quantum processor in silicon
Mateusz T. Mądzik, Serwan Asaad, Akram Youssry +17
Nuclear spins were among the first physical platforms to be considered for quantum information processing, because of their exceptional quantum coherence and atomic-scale footprint…
Noise Detection with Spectator Qubits and Quantum Feature Engineering
Akram Youssry, Gerardo A. Paz-Silva, Christopher Ferrie
Designing optimal control pulses that drive a noisy qubit to a target state is a challenging and crucial task for quantum engineering. In a situation where the properties of the qu…
Beyond Quantum Noise Spectroscopy: modelling and mitigating noise with quantum feature engineering
Akram Youssry, Gerardo A. Paz-Silva, Christopher Ferrie
The ability to use quantum technology to achieve useful tasks, be they scientific or industry related, boils down to precise quantum control. In general it is difficult to assess a…
Modeling and Control of a Reconfigurable Photonic Circuit using Deep Learning
Akram Youssry, Robert J. Chapman, Alberto Peruzzo +2
The complexity of experimental quantum information processing devices is increasing rapidly, requiring new approaches to control them. In this paper, we address the problems of pra…
Efficient online quantum state estimation using a matrix-exponentiated gradient method
Akram Youssry, Christopher Ferrie, Marco Tomamichel
In this paper, we explore an efficient online algorithm for quantum state estimation based on a matrix-exponentiated gradient method previously used in the context of machine learn…