The Lab
Where ideas get tested.
The lab is the engine of Small Qubit Labs. Not a portfolio of finished work — a live record of what's being explored, built, and questioned. Everything here is in motion.
Areas of exploration
Hybrid quantum-classical optimisation
Investigating QAOA and VQE approaches for combinatorial optimisation problems that are relevant to enterprise scheduling, logistics, and financial modelling. The goal: identify where near-term quantum hardware can outperform classical solvers on real-world problem sizes.
Architectural patterns for enterprise AI
Drawing on solutions architecture experience to define robust patterns for integrating LLMs, agents, and AI pipelines into existing enterprise systems — without the chaos. Focused on observability, reliability, and the kind of AI that actually stays in production.
Quantum-enhanced machine learning
Exploring where quantum feature maps and quantum kernels might provide measurable advantages over classical approaches in high-dimensional classification problems. Honest assessment: most claims in this space are premature. The lab's job is to find the exceptions.
Precision interfaces for complex systems
Building and documenting the design principles that make technically complex software feel inevitable and simple. Inspired by the discipline of quantum circuit notation — every gate placed deliberately, nothing wasted.
On the workbench
Quantum circuit simulator
A minimal, browser-based tool for visualising and running small quantum circuits. Built for intuition, not production.
AI transformation playbook
A structured framework for taking enterprise AI from proof-of-concept to production — drawing on real architecture patterns and honest failure modes.
Open-source experiments
Small, well-documented repositories exploring specific ideas. Each one a hypothesis. Each one public.
Interested in collaborating?
If you're working on something in this space — or have a problem that might benefit from a quantum or AI lens — I'd like to hear about it.