Applying quantum Monte Carlo and amplitude estimation to VaR, CVaR, and counterparty credit risk.
Quantum amplitude estimation for Value at Risk, Monte Carlo acceleration for credit risk and CVA computation, and an honest assessment of NISQ hardware limits versus fault-tolerant requirements. For risk managers, quantitative analysts, and financial technology leads.
Course content is structured into sessions below. Each session is configurable to your organisation's environment, threat model, and objectives.
| # | Session | Topics |
|---|---|---|
| 1 | Classical Risk Models and Their Computational Limits VaR, CVA, Expected Shortfall, and Monte Carlo bottlenecks | |
| 2 | Quantum Amplitude Estimation for Risk Measures Quadratic speedup over classical Monte Carlo sampling |
|
| Break | ||
| 3 | Quantum Monte Carlo Methods for Credit Risk Portfolio loss distributions, CDO pricing, and counterparty credit risk |
|
| 4 | Hands-On: Building a Quantum Risk Calculation Pipeline Full-day format only |
|
| Break | ||
| 5 | NISQ Limitations and the Fault-Tolerant Frontier Current qubit counts vs circuit depth requirements for production risk |
|
| 6 | Vendor Landscape and Adoption Framework Published results from Goldman Sachs, JPMorgan, and BBVA |
|
| 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.
Contact Us