I'm Steve Duncan — I design AI native enterprise software, from full-stack ERP platforms to Optimere, a medical scheduling app. Right now I'm exploring quantum approximate optimization (QAOA) to solve the rescheduling problems classical systems struggle with at scale.
A medical scheduling platform that keeps clinics running when reality doesn't cooperate. Optimere coordinates providers, rooms, equipment and patients in real time — and when a cancellation or no-show ripples through the day, it rebuilds the schedule around the disruption.
Built on a full-stack engineering foundation using modern AI development methods: complex domain modeling, hard constraints, and operations teams who need answers in seconds, not minutes.
Rescheduling is a combinatorial optimization problem — the kind that explodes as a clinic grows. I'm prototyping QAOA (the Quantum Approximate Optimization Algorithm) as a future engine for Optimere.
Today the math is small enough to run classically, so I use an AI-driven classical simulation of the quantum circuit to design and validate the approach. The architecture is built to hand off to real quantum hardware the moment it becomes commercially viable at the scale of large patient datasets. The demo below is that simulator, running live.