I help teams evaluate quantum applications, develop reliable scientific software, and turn research into practical systems.
Examples of the problems I have worked on, the systems I built, and the evidence behind the results.
A production-style Python package for explainable memory experiments, alongside a broader notebook laboratory spanning surface codes, noisy circuits, compilation, photonic architectures, and application resources.
I built shared models and orchestration to bring heterogeneous solvers behind one interface, supporting durable execution and consistent results across classical and quantum compute.
I took a research method through SDK, service, and workflow design to a deployed product that decomposes large optimization problems and coordinates heterogeneous solvers.
I led a 26–78-variable study on Rigetti hardware, comparing quantum approaches against a strong classical baseline to assess solution quality, uncertainty, and scaling.
Ask about a technical approach, a project decision, or the research behind it. The answers link back to public evidence.
View CVThe valuable work often lives between disciplines. I make those hand-offs explicit, testable, and reusable.
Physical assumptions, mathematical formulation, operational constraints, and what a useful answer actually means.
Stable interfaces, observable workflows, reliable execution, clear failure states, tests, and documentation.
Strong baselines, repeated runs, uncertainty, scaling, and a recommendation that survives contact with evidence.
Leading quantum applications work at the boundary between customer needs, product direction, and technical delivery.
Principal technical ownership across optimization, quantum providers, AI-assisted workflows, asynchronous execution, benchmarking, and production delivery.
Created QAOA, VQE, and Hybrid Optimize products from algorithm and prototype through SDKs, services, testing, documentation, and deployment.
Modelled neutral-atom quantum hardware and ran tensor-network simulation campaigns on HPC systems in collaboration with experimental teams.
Theoretical quantum physics, many-body dynamics, open quantum systems, and computational methods.
I’m a Glasgow-based quantum applications lead and computational physicist. My work connects research, architecture, experimentation, and the decisions a team needs to make.
I’m especially interested in QEC and fault-tolerant software, resource estimation, logical architecture, scientific developer tooling, and advanced compute platforms.
QEC · FTQC · tensor networks · quantum algorithms · noise modelling
Python · Julia · Qiskit · Amazon Braket · Stim · ITensors
APIs · SDKs · async jobs · Docker · AWS · CI/CD · HPC
Understand the physics, expose the assumptions, and measure what matters.
View Google ScholarTell me what you’re trying to achieve, what you’ve tried, and where the uncertainty lies. We can start with the technical question.
My current applications work is through Commutator Studios. Get in touch to discuss a project and the right way to work together.