I connect physical models, algorithms, and production software—from QEC and tensor networks to cloud platforms, hybrid workflows, and hardware-aware benchmarks.
Public projects and case studies that show the path from theory to implementation, experiment, and delivery.
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.
Shared models, solver routing, asynchronous execution, durable job lifecycles, structured results, and deployment across classical and quantum compute.
A multi-service product that decomposes large QUBO or Ising problems, routes subproblems across compute paradigms, and recombines the answer.
A 26–78-variable aircraft cargo-loading study on Rigetti hardware with repeated runs, uncertainty, scaling, and a strong classical baseline.
The 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.
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 software engineer and computational physicist. I enjoy the parts of a project where research, architecture, experimentation, and product judgment meet.
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.
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