A variational quantum algorithm resubmits nearly the same circuit over and over. Whether the previous answer may be reused is a decision someone has to be able to audit.

Two runnable demonstrations of what it takes to put a computational step inside a governed biology workflow. The first runs a published quantum genomics method and a trained quantum classifier on PennyLane behind a control plane that decides what may run and records what happened — admission control, rate limiting, a circuit cache and an event record, over QAOA de novo assembly with three reads and nine qubits, verified against brute force.

The second is deliberately not quantum: a mechanistic fed-batch CHO bioreactor under a contract of in-process limits, with a search controller that picks a feed plan from 256 candidates and writes the decision artifact. It is the yardstick — the kind of decision record a regulated bioprocess step already has to leave behind.

Neither demo claims quantum advantage. Every instance is small enough to check classically, and each one is checked. The demos are seeded and run offline, so the reported numbers repeat.

The companion control plane is offered to be attacked rather than admired: it runs entirely in the browser with no backend, so every verdict it reaches can be reproduced by the reader.

qubit.agenticdatasets.orgok-quantum-biology-demosZenodo 10.5281/zenodo.22741061