Editing Quantum Ml (section)

== <span style="color: #FFFFFF;">Evaluating</span> ==
Honest QML evaluation requires:
# '''Fair classical comparison''': compare against strong classical baselines (not weak ones); QML has limited demonstrated advantages.
# '''Problem scaling''': show how performance scales with problem size; quantum advantage is often only at large scale (which NISQ can't reach).
# '''Wall-clock time''': include quantum hardware runtime, calibration, and queue time in latency comparisons.
# '''Noise sensitivity''': report how performance degrades with realistic noise levels, not just ideal simulations. Expert practitioners in QML are skeptical of claimed advantages until validated on real hardware at meaningful problem scale.
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