Applying quantum optimisation to power distribution, cooling system scheduling, and workload placement.
For data centre operations directors and energy managers. Covers quantum optimisation applications for cooling dispatch scheduling, workload placement for PUE reduction, UPS load balancing, and renewable energy procurement. Includes QUBO formulations, benchmark-specific performance comparisons against classical solvers, honest NISQ hardware assessment, and vendor landscape evaluation.
Course content is structured into sessions below. Each session is configurable to your organisation's environment, threat model, and objectives.
| # | Session | Topics |
|---|---|---|
| 1 | The Data Centre Energy Problem at Scale Why classical optimisation hits limits as facility complexity grows | |
| 2 | Quantum Optimisation Algorithms for Energy Management QAOA, VQE, and quantum annealing applied to data centre operations |
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| Break | ||
| 3 | QUBO Formulations for Data Centre Energy Problems Translating operational constraints into quantum-native representations |
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| 4 | Interactive Demonstration: Energy Optimisation Pipeline Full-day format only |
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| Break | ||
| 5 | Current Hardware Limits and Honest Performance Assessment What works now, what does not, and the realistic timeline |
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| 6 | Vendor Landscape and Adoption Framework Independent guidance on quantum optimisation for data centre operations |
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| 7 | Q&A and Pilot 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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