This workshop examines quantum amplitude estimation for derivatives pricing, providing benchmark-specific performance comparisons against classical Monte Carlo on current NISQ hardware.
Monte Carlo simulation is the workhorse of derivatives pricing. A bank running end-of-day VaR across a large exotic derivatives book may execute billions of simulation paths, consuming hours of compute time on classical hardware. Quantum amplitude estimation (QAE) offers a theoretical quadratic speedup: where classical Monte Carlo convergence scales as O(1/N), QAE scales as O(1/sqrt(N)), potentially halving the number of samples needed for equivalent accuracy. The practical challenge is that QAE requires deep quantum circuits, and current NISQ hardware introduces noise that degrades results before the speedup materialises. This workshop quantifies exactly where that boundary sits today.
The session covers QAE applied to European and Asian option pricing, quantum gradient estimation for computing Greeks on exotic and path-dependent derivatives, and quantum Monte Carlo approaches to VaR and CVA computation. Each topic includes benchmark-specific performance comparisons between quantum and classical methods, with honest assessments of qubit counts, circuit depths, and gate fidelities required for practically useful pricing accuracy. Participants work through a facilitator-led demonstration that prices a European call option using QAE on a simulated quantum backend alongside classical Monte Carlo, interpreting the results and assessing when quantum speedup is genuine versus when noise erases the advantage. The session concludes with integration architecture for hybrid classical-quantum pricing workflows and FRTB model risk considerations for quantum-enhanced models.
Full-day session structure with scheduled breaks. Content is configurable to your organisation's derivatives book, pricing infrastructure, and model governance requirements.
| # | Session | Topics |
|---|---|---|
| 1 | Classical Monte Carlo in Derivatives Pricing Where the computational bottleneck sits today | |
| 2 | Quantum Amplitude Estimation for Option Pricing The quadratic speedup and what it requires |
|
| Break, after 50 min | ||
| 3 | Derivative Valuation and Greeks Quantum approaches to sensitivity analysis |
|
| 4 | Interactive Demonstration Facilitator-led pricing comparison on quantum hardware |
|
| Break, after 45 min | ||
| 5 | Risk-Sensitive Simulation and VaR Quantum approaches to portfolio risk measurement |
|
| 6 | Integration and Roadmap From proof-of-concept to production pricing infrastructure |
|
| 7 | Q&A and Action 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 derivatives book, pricing infrastructure, and model governance requirements. 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.
