Workshop Description
Executive briefing covering the dual quantum agenda for AI leadership: quantum computing as an AI capability accelerator and quantum security as a protection requirement for AI assets. Addresses EU AI Act, NIST AI RMF, investment sequencing, and board-level risk governance.
Enterprises investing heavily in AI face a two-sided quantum question. On the opportunity side, quantum computing offers potential acceleration for specific AI bottlenecks: hyperparameter search as a combinatorial optimisation problem, quantum kernel methods for classification tasks, and quantum simulation for training data generation. On the risk side, the cryptography protecting model weights, training data, inference APIs, and customer data is vulnerable to Shor's algorithm. The timing mismatch between these two agendas creates a strategic decision: when to invest in quantum-AI research capability versus when to begin PQC migration to protect existing AI assets. This briefing provides the analytical framework for that decision, grounded in current hardware reality, published benchmarks, and regulatory trajectory under the EU AI Act and NIST AI RMF.
What participants cover
- Quantum computing for AI: realistic capability assessment of QML, quantum optimisation, and quantum simulation for enterprise AI workloads
- Quantum security for AI: harvest-now-decrypt-later risk to model weights, training data, and inference API traffic
- Regulatory intersection: EU AI Act Article 15 (cybersecurity), NIST AI RMF, and how quantum security fits within existing AI governance frameworks
- Investment sequencing: when to begin PQC migration versus quantum-AI research, based on threat timeline and programme maturity
- Board-level risk governance: quantifying quantum risk for AI assets in terms the board understands (financial exposure, regulatory penalty, competitive loss)
- Vendor landscape: independent assessment of quantum computing platforms, PQC solutions, and quantum-AI tooling maturity