Applying quantum optimisation to intelligence collection tasking, processing resource allocation, and analyst workflows.
For intelligence operations planners. Covers QAOA and quantum annealing for SIGINT sensor placement, HUMINT network optimisation, collection priority scheduling, and honest performance comparison with classical optimisation solvers on intelligence problems.
Course content is structured into sessions below. Each session is configurable to your organisation's environment, threat model, and objectives.
| # | Session | Topics |
|---|---|---|
| 1 | Quantum Optimisation for Intelligence Algorithms and the intelligence optimisation landscape |
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| 2 | Intelligence Problem Formulation Mapping collection and network problems to quantum hardware |
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| Break | ||
| 3 | Performance Analysis Quantum versus classical on intelligence problems |
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| 4 | Interactive Demonstration Intelligence network optimisation comparison |
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| Break | ||
| 5 | Implementation Strategy Near-term and long-term planning for intelligence optimisation |
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| 6 | Case Studies: Government Quantum Optimisation Pilots Published results from government organisations |
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| 7 | Q&A and Programme Planning | |
Training courses are designed and delivered by QSECDEF in collaboration with subject specialists. All instructors have direct experience in quantum technologies and security.
Course design and delivery
QSECDEF brings expertise in post-quantum cryptography, quantum computing strategy, and defence-grade security assessment. Our membership spans 900+ organisations and 1,500+ professionals working at the intersection of quantum technologies and critical infrastructure security.
Get in touch to discuss scheduling, group pricing, and how this course can be configured to your organisation's needs.
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