Measurement‑based control (adaptive bases)

• Real‑time basis selection driven by a model to minimize predictive loss or maximize task reward.
• Evaluate vs fixed‑policy baselines; account for control costs.

Coherence → work/information conversion

• Protocols that turn coherence into extractable work or mutual information.
• Efficiency = work (or bits) per unit coherence consumed; test robustness.

Efficiency and robustness metrics

• Predictive log‑loss reduction, work per coherence, information per control bit.
• Sensitivity to dephasing, timing jitter, calibration drift.

Toolchains and demos

• Simulators: QuTiP, qiskit, Strawberry Fields.
• Controllers: Bayesian filters, RL, model predictive control.

Further reading: Quantum Foundations, Operational Criteria, Research Directions (quantum tracks), Glossary.