QAOA and variational approaches to portfolio construction, risk-adjusted returns, and constraint handling.
For C-suite and portfolio management leads. Covers the limits of classical Markowitz and mean-variance models, quantum algorithms for large-scale optimisation, benchmark-specific performance comparisons, adoption frameworks, and independent guidance on quantum optimisation vendors.
Course content is structured into sessions below. Each session is configurable to your organisation's environment, threat model, and objectives.
| # | Session | Topics |
|---|---|---|
| 1 | Classical Portfolio Theory and Its Computational Limits Why Markowitz breaks at scale | |
| 2 | Quantum Optimisation Algorithms for Finance QAOA, VQE, and quantum annealing for portfolio construction |
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| Break | ||
| 3 | QUBO Formulations for Portfolio Problems Translating financial constraints into quantum-native representations |
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| 4 | Hands-On: Building a Quantum Portfolio Optimisation Pipeline Full-day format only |
|
| Break | ||
| 5 | Current Hardware Limits and Honest Performance Assessment What works now, what does not, and the 2026-2030 frontier |
|
| 6 | Vendor Landscape and Adoption Framework Independent guidance on quantum optimisation vendors |
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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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