A quantum optimisation lab for logistics routing
How a logistics company could test quantum and quantum-inspired methods on a real routing problem — measured honestly against classical solvers.
The situation
A logistics company’s innovation team wants to understand whether quantum computing could improve vehicle routing and depot scheduling. Leadership wants evidence, not hype, before investing further.
Our approach
Frame the problem
Choose a small but real routing sub-problem and formulate it as an optimisation model (e.g. QUBO).
Classical baseline
Solve it first with strong classical and heuristic solvers to set the bar.
Quantum experiments
Run the same problem on simulators and quantum hardware via Amazon Braket, plus quantum-inspired algorithms.
Compare honestly
Compare solution quality, time and cost against the classical baseline at several problem sizes.
Findings & skills
Report where (if anywhere) quantum shows promise, and leave the team with reusable code and skills.
Typical technology
What success looks like
Metrics we would agree with you up front and track throughout:
- Solution quality vs classical baseline
- Time to solution
- Cost per experiment
- Largest problem size tested
- Team members trained
This is an illustrative scenario showing how Inspired Infotech approaches this type of problem. It does not describe a specific client, and actual approach and outcomes depend on each organisation’s systems, data and goals.
Services behind this scenario
Quantum Computing
Quantum readiness, cloud quantum experiments and post-quantum cryptography (PQC) migration.
Learn moreAI & Machine Learning
Predictive models, computer vision and NLP built on your data and taken all the way to production.
Learn moreAWS Cloud Services
Migration, modernization, serverless, data and GenAI on Amazon Web Services.
Learn moreFacing a similar challenge?
Let’s talk about your situation and what a realistic plan looks like.