Quantum optimisation for load balancing, transmission planning, and distributed energy resource coordination.
For grid operators, energy system planners, and dispatch engineers. Covers QAOA, VQE, and quantum annealing for unit commitment, economic dispatch, optimal power flow, and network reconfiguration. Includes D-Wave versus gate-based comparison, benchmark-specific performance evidence on IEEE test cases, and honest NISQ hardware assessment.
Course content is structured into sessions below. Each session is configurable to your organisation's environment, threat model, and objectives.
| # | Session | Topics |
|---|---|---|
| 1 | Classical Optimisation and Where It Breaks Down Computational limits of MILP, SCUC, and heuristic solvers for grid-scale problems | |
| 2 | Quantum Optimisation for Power Systems QAOA, VQE, and quantum annealing applied to grid management problems |
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| Break | ||
| 3 | Real-Time Grid Balancing Under Renewable Intermittency Quantum approaches to dynamic dispatch and demand response |
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| 4 | Interactive Demonstration: Grid Optimisation Pipeline Full-day format only |
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| Break | ||
| 5 | Hardware Assessment and Honest Performance Boundaries What works now, what does not, and the 2026-2030 horizon |
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| 6 | Vendor Landscape and Pilot Design Structuring a quantum optimisation proof-of-concept for your grid |
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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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