This workshop examines where quantum algorithms can improve ALM outcomes today on NISQ hardware, and where the claims outrun the circuit depths available.
Asset and liability management sits at the intersection of optimisation, simulation, and risk modelling. Classical approaches to multi-asset hedging under interest rate, FX, and credit constraints rely on mixed-integer linear programming (MILP) or stochastic programming, both of which scale poorly as portfolio complexity grows. QAOA (Quantum Approximate Optimisation Algorithm) offers a potential route to better-quality solutions for combinatorial hedging problems, while VQE can address liability-matching formulations that resist classical decomposition. The practical question is not whether quantum will eventually outperform classical methods. It is which specific ALM sub-problems show near-term advantage on today's NISQ hardware, and which require fault-tolerant machines that are still years away.
This workshop works through that assessment with rigour. It covers quantum amplitude estimation for accelerating Monte Carlo simulations used in LCR and NSFR stress testing, examines realistic circuit depths for current ALM problem sizes on available hardware from IBM, Quantinuum, and IonQ, and addresses the model risk management question that regulators will ask: how do you validate a quantum-enhanced ALM model under SR 11-7? Participants leave with benchmark-specific performance comparisons between quantum and classical approaches on representative ALM problems, an honest assessment of near-term viability for their specific use cases, and a framework for evaluating quantum ALM vendors without over-committing to speculative capability.
Deep Dive Session structure with scheduled breaks. Content is configurable to your organisation's ALM model stack, portfolio complexity, and regulatory jurisdiction.
| # | Session | Topics |
|---|---|---|
| 1 | Classical ALM Constraints Where current optimisation methods hit their limits | |
| 2 | Quantum Algorithms for Balance Sheet Optimisation QAOA, VQE, and hybrid solvers applied to ALM |
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| Break, after 50 min | ||
| 3 | Liquidity Risk and Stress Testing Quantum simulation for tail-risk scenarios |
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| 4 | Interactive Demonstration Facilitator-led ALM optimisation comparison |
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| Break, after 45 min | ||
| 5 | Regulatory and Implementation Considerations Model risk management for quantum-enhanced ALM |
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| 6 | Q&A and Roadmap Planning | |
Workshops are designed and delivered by QSECDEF in collaboration with sector specialists. All facilitators have direct experience in both quantum technologies and financial services systems.
Workshop design and delivery
QSECDEF brings world-leading expertise in post-quantum cryptography, quantum computing strategy, and defence-grade security assessment. Our advisory membership spans 600+ organisations and 1,200+ professionals working at the intersection of quantum technologies and critical infrastructure security.
Domain expertise and operational validation
Financial Services workshops are co-delivered with sector specialists who bring direct operational experience in financial services organisations. This ensures workshop content is grounded in regulatory, operational, and technical realities specific to the sector.
Sessions are configured around your organisation's ALM model stack, portfolio complexity, and regulatory jurisdiction. Get in touch to discuss requirements and schedule a date.
Contact UsQuantum technologies are evolving quickly and new developments emerge regularly. This page was last updated on 15/03/2026. For the most current information about course content and suitability for your organisation, we recommend contacting us directly.
