Quantum Boltzmann Machines
Quantum Boltzmann machines and generative models for scenario generation under uncertainty. Covers promotional planning, new product launches, and demand shock modelling where classical probabilistic methods underperform.
Consulting / Retail, Logistics and Transportation
Eight quantum algorithm workshops and five strategic sessions to help retailers, logistics operators, and transport planners understand where quantum computing delivers measurable advantage. No physics background required.
Each session is designed to help teams define how quantum technologies can benefit their operations. Coverage spans quantum-native algorithms and strategic workforce briefings. All workshops are vendor-neutral.
Sessions run from 2.5 hours for executive teams to half-day deep-dives for technical and analytics leads. Delivery in person or online.
Technical sessions covering the specific algorithms with the most direct application in retail and logistics. Each session examines the theory, the current hardware constraints, and the practical deployment pathway.
Quantum Boltzmann machines and generative models for scenario generation under uncertainty. Covers promotional planning, new product launches, and demand shock modelling where classical probabilistic methods underperform.
Quantum amplitude estimation accelerates calculation of means, tails, and risk metrics including stockout probability and service-level CVaR. Relevant for inventory risk teams managing large SKU portfolios.
The Quantum Approximate Optimisation Algorithm addresses discrete choice problems: SKU clustering, demand regime segmentation, and calendar effect modelling in large-scale retail planning systems.
QSVM and related quantum kernel methods capture complex, non-linear seasonality and cross-category interactions that classical regression models routinely miss.
Fast combinatorial search across feature selection spaces, promotion bundling configurations, and hyperparameter grids. Practical session covering current annealing hardware and near-term applicability.
VQCs learn non-linear relationships for probabilistic forecasting at SKU, channel, and day-level granularity. Session covers architecture choices, training considerations, and realistic performance benchmarks.
Accelerate subroutines such as Kalman filtering and state-space inference in large-scale demand models. Covers the HHL algorithm, its practical requirements, and current hardware limitations.
Efficient modelling of high-dimensional time series with sparse signals. Tensor network methods bridge classical and quantum approaches and are deployable on current hardware without fault-tolerant machines.
Structured for executives, senior operations leads, and cross-functional teams. Each session combines strategic context with operational application, without requiring a technical background.
A focused executive and innovation workshop for contemporary leaders. Introduces the fundamentals of quantum computing and explores the strategic implications as the next computing transition unfolds. No physics background required. Participants leave with a clear vocabulary, practical examples, and a framework for identifying early opportunities in their organisation.
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For senior leaders responsible for supply chain strategy. Covers where classical methods fail at scale in multi-echelon networks, how quantum algorithms improve routing, scheduling, and inventory decisions, and a vendor-independent assessment of the current landscape. Participants leave with a readiness checklist.
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Routing, loading, and scheduling with quantum-enabled optimisation. Covers where classical logistics methods fail under time pressure and scale, and how quantum approaches deliver measurable improvements in fleet routing, warehouse operations, and last-mile delivery.
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Quantum approaches to multi-modal transport optimisation: route planning at scale, congestion modelling, and real-time rescheduling under disruption. Covers both near-term quantum-inspired approaches and longer-term fault-tolerant timelines.
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End-to-end session on quantum-enhanced demand forecasting: from data preparation and feature engineering to model selection and deployment. Covers the eight algorithm approaches listed above and how they combine in a practical forecasting pipeline.
Learn MoreAll tiers include access to the full lecture archive, weekly webinars, and the member directory.
For professionals working in quantum computing, post-quantum cryptography, or adjacent security fields.
For organisations building, deploying, or evaluating quantum-safe solutions across their supply chain.
For recognised specialists contributing lectures, advisory work, or research to the QSECDEF community.
Sessions are configured around your team's technical level and operational context. Get in touch to discuss requirements and availability.