Cohort 1 (2025)

I am a QI CDT student, currently in the first year of my PhD programme at the University of Edinburgh.

I graduated from Durham University with a BSc in Mathematics and Computer Science, and have worked professionally as a software developer for the past 4 years, 3 of which I spent at Riverlane, a quantum computing scale-up focusing on Quantum Error Correction. My research interests thereby lie largely within the QEC subfield, though I am also interested in Computational Complexity and Information Theory.

I’m excited to be a part of the QI CDT to expand my knowledge of the field both within and beyond QEC, and participate in cutting-edge research that will help bring utility-scale quantum computing closer to being a reality.

I am a QI CDT student, currently in the first year of my PhD, at the University of Edinburgh.

I previously read an MSci in Theoretical Physics at the University of Cambridge, where my dissertation focused on distinguishability in the Many Worlds Interpretation, and later completed an Msc in Computer Science at the University of Edinburgh, with my research project focused on Quantum Transfer Learning. I have also worked in patents, primarily focused on wireless networking and network security.

I value being part of the CDT because of the exposure to a wide range of research topics, the interdisciplinary training, and the cohort structure. 

I am a first-year PhD student in the Quantum Informatics CDT at the University of Edinburgh.

Previously, I completed an MSc in Quantum Science and Technology at the Technical University of Munich and Ludwig Maximilian University of Munich, where my thesis focused on tensor network methods with non-Abelian symmetries. Before that, I earned a BSc in Physics at the Technical University of Munich, working on non-equilibrium dynamics in integrable systems for my bachelor’s thesis. My research interests include tensor network simulations, quantum computation algorithms, and optimization.

I value being part of the CDT as it allows me to develop interdisciplinary skills and gain a broader understanding of how different subfields of quantum informatics interact and influence one another.

I am a QI CDT student, currently in the first year of my PhD programme at the University of Edinburgh.

I hold a Bachelor’s degree in physics from Trinity College Dublin and a Master’s degree in Quantum Science and Technology from UCLA. During my Master’s thesis, I worked to improve the simulation of entanglement distribution protocols in noisy, near term quantum networks.

I am interested in developing and evaluating quantum algorithms for practical applications with the aim of identifying quantum advantage in meaningful contexts, and I hope to focus on novel algorithms in the context of quantum machine learning with a focus on both theoretical developments and practical implementations in near term quantum devices.

I value being part of the CDT because of its strong partnerships with industry and the interdisciplinary training it provides.

I am a QI CDT student, currently in the first year of my PhD programme at the University of Edinburgh.

I previously completed a MSc in Data Science at Loughborough University, where my dissertation focused on facial landmark detection. My research interests are broadly concerned with quantum error correction, and I am particularly interested in theoretical computer science, quantum algorithms and the foundations of quantum theory.

I value being part of the CDT as it’s interdisciplinary training provides a chance to learn various different areas of physics, computer science and mathematics. The cohort structure also provides a chance to study and work alongside like-minded individuals with a similar goal.

I am a QI CDT student, currently in the first year of my PhD, at the University of Edinburgh.

I previously completed an MEng in Materials Science at the University of Oxford, where my thesis focused on benchmarking and predicting the performance and usefulness of near-term quantum computers . My research interests are predominantly concerned with the practical applications of quantum computers and quantum algorithms for NISQ devices. I am broadly interested in the implementation and applications of quantum algorithms for simulation, including near-term simulation of molecular systems and many-body physics, as well as quantum algorithms for optimization and machine learning.

I value being part of the CDT as it provides interdisciplinary training, enabling me to contribute to collaborative research that bridges fundamental research and industry.

I am a QI CDT student, currently in the first year of my PhD, at the University of Edinburgh.

I previously completed an MSc in Maths and Foundations of Computer Science at The University of Oxford, where I wrote my dissertation on fermion-qubit mappings. Prior to this, I completed an MSci in Mathematics at Imperial College London. My research interests are broadly concerned with quantum simulation, though I am also interested in topics such as learning theory and variational quantum algorithms.

I value being part of the CDT because it offers the freedom to collaborate across academia and industry.

Haytham is a Cohort 1 Student Rep. 

I am a QI CDT student, currently in the first year of my PhD, at the University of Edinburgh.

I previously completed a Msc in Computer Science at the Universidade Federal Fluminense, where my dissertation focused on Quantum Machine Learning. My research interests are more geared towards possible Applications of Quantum Informatics, being particularly interested in Quantum Machine Learning, Quantum Algorithms Implementation and Quantum-Classical Integration.

I wanted to be part of the QI CDT because the programme vision closely matches my own personal research goals, and I take interest in topics of all three general research themes: Quantum Service Architecture, Scalable Quantum Software, and Quantum Application Analysis.

I am a QI CDT student, currently in the first year of my PhD, at the University of Edinburgh.

I hold a BA in Physics from Trinity College Dublin and a Master’s in Quantum Science and Technology from UCLA. My previous work focused on quantum error correction in biased noise settings, examining codes with asymmetric distance profiles. My current research interests include logical gate compilation for biased quantum codes, correlated decoding, and non-matching decoders.

I am thoroughly enjoying being part of the QI CDT, both for the breadth of expertise among the faculty and for the programme’s structure, which allows me to explore a diverse range of topics across the entire quantum stack.

I am a QI CDT student, currently in the first year of my PhD programme at the University of Edinburgh.

I previously completed an MSc in Mathematical and Theoretical Physics at Oxford University, where my dissertation was focused on Bijections in Quantum Gravity. My research interests lie predominantly in quantum foundations, with particular focus on quantum information flow in relation to quantum gravity and spacetime entanglement, as well as neuromorphic quantum computing.

I value being part of the CDT as it enables me to explore different areas of quantum informatics, collaborate across multiple fields and institutions, and pursue my PhD within a supportive cohort of peers.

Sophia is a Cohort 1 Student Rep.