If a company decides to explore quantum computing, the right approach is not: “Let’s integrate quantum into our product.” It’s something much smaller and more controlled. A realistic 90-day pilot usually looks like this: Phase 1: Problem Scoping (Weeks 1–3) - Identify one clearly defined problem - Map the current classical baseline performance - Define measurable success criteria - Decide what would count as “interesting” vs “not useful.” No circuits yet. No hardware yet. Just clarity. Phase 2: Feasibility Exploration (Weeks 4–8) - Reformulate the problem in a quantum-compatible way - Test small hybrid prototypes (often on simulators first) - Compare against strong classical baselines - Document limitations honestly At this stage, most serious teams learn more about their own problem structure than about quantum hardware. Phase 3: Evaluation & Decision (Weeks 9–12) - Was there a measurable signal? - Was the comparison fair? - Did the quantum component add modelling value? - Is this worth deeper research, or should we stop? Stopping is a valid outcome. In fact, in many cases, the correct decision after 90 days is: “Not yet.” And that’s a successful pilot — because it prevented wasted investment. Quantum exploration today is about disciplined experimentation, not dramatic breakthroughs. The companies that benefit long-term are the ones that: - Define scope carefully - Benchmark honestly - And avoid emotional decisions Question: If your team ran a 90-day pilot, what would you want to learn by the end of it?