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?