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Quantum Optimisation for Programmatic Advertising and Media Buying

Applying QUBO and quantum annealing to real-time bidding optimisation and media inventory allocation.

Full day (6 hours)

Certificate on completion

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Course Overview

Technical workshop on quantum and quantum-inspired optimisation for programmatic advertising. Covers QUBO formulations for ad allocation, annealing approaches to real-time bidding, media mix modelling as combinatorial optimisation, and honest NISQ hardware assessment against production ad-tech latency requirements.

Curriculum

Course content is structured into sessions below. Each session is configurable to your organisation's environment, threat model, and objectives.

#	Session	Topics
1	Programmatic Advertising Optimisation Landscape Where quantum approaches enter the ad-tech pipeline
2	QUBO Formulations for Ad Allocation Expressing campaign optimisation as binary quadratic problems	Quadratic Unconstrained Binary Optimisation (QUBO): encoding budget allocation, frequency caps, and audience overlap constraints as binary variables with penalty terms Problem scaling: typical programmatic campaigns involve 10,000-100,000 binary variables; current D-Wave Advantage systems support ~5,000 qubits with Pegasus connectivity Minor embedding overhead: mapping dense ad allocation QUBO graphs to sparse hardware topologies requires chain lengths that degrade solution quality
Break
3	Quantum Annealing for Real-Time Bidding D-Wave and quantum-inspired approaches to bid optimisation	Annealing schedule design for bid strategy: chain strength, anneal time, and reverse annealing for bid price refinement Latency constraint analysis: D-Wave cloud API round-trip is 50-200ms; RTB auctions close in under 100ms; hybrid strategies using pre-computed quantum solutions Published benchmarks: D-Wave performance on combinatorial auction problems versus classical CPLEX and Gurobi at comparable problem sizes
4	Interactive Demonstration Facilitator-led QUBO formulation and solver comparison	Live demonstration: encoding a sample campaign budget allocation problem as QUBO and solving on D-Wave versus classical simulated annealing Interpreting solution quality: time-to-solution, optimality gap, and constraint violation rates across solver types Discussion: identifying which of your optimisation problems have tractable QUBO formulations versus where classical solvers remain superior
Break
5	Media Mix Modelling and Attribution Variational approaches to non-convex marketing optimisation	QAOA circuit design for media mix models: encoding channel interaction effects and diminishing returns as cost Hamiltonians Cross-channel attribution as a combinatorial assignment problem: quantum versus classical approaches to multi-touch credit allocation Quantum-inspired classical methods: tensor network contraction and simulated bifurcation for production marketing mix modelling
6	Readiness Assessment and Timeline NISQ limitations and commercial deployment horizon	Current hardware versus production requirements: qubit count, connectivity, and coherence time gaps for ad-tech scale problems Fault-tolerant timeline: estimated 2030-2035 for quantum optimisation at commercially relevant campaign variable counts Near-term investment strategy: quantum-inspired solvers, hybrid quantum-classical pipelines, and proof-of-concept programme design
7	Q&A and Roadmap Discussion

Designed and Delivered By

Training courses are designed and delivered by QSECDEF in collaboration with subject specialists. All instructors have direct experience in quantum technologies and security.

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.

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Quantum Optimisation for Programmatic Advertising and Media Buying

Course Overview

Curriculum

Designed and Delivered By

Quantum Security Defence

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