Quantum optimisation approaches for vehicle routing, fleet management, and EV infrastructure planning. QUBO formulations, quantum annealing, and variational algorithms applied to real automotive logistics problems.
For fleet operations directors, logistics technology leads, and automotive R&D teams evaluating quantum computing for combinatorial optimisation. Covers QUBO formulations for vehicle routing, quantum algorithms for fleet scheduling, EV charging network planning, and an honest assessment of what current hardware can and cannot solve.
Vehicle routing with real-world constraints (time windows, capacity limits, driver hours, multi-depot assignment) is NP-hard. Classical solvers handle fleets of hundreds of vehicles using heuristics, but solution quality degrades as constraint complexity grows. Quantum approaches encode these problems as QUBO formulations and solve them via quantum annealing (D-Wave) or variational gate-based algorithms (QAOA). Published results from Volkswagen (traffic flow optimisation in Lisbon, 2019), BMW (production scheduling), and the Toyota/QC Ware collaboration show quantum approaches matching classical solvers for small fleet sizes (15 to 40 vehicles) with the expectation of advantage at larger scales on future hardware. EV charging network optimisation is a particularly promising domain: the combinatorial complexity of station placement, demand prediction, and grid integration maps naturally to quantum optimisation formulations. This workshop does not cover quantum-enhanced reinforcement learning for real-time autonomous driving decisions, which remains a speculative research concept with no demonstrated automotive application.
Full Day Workshop structure with scheduled breaks. Content is configurable to your organisation's fleet size, constraint types, and existing logistics infrastructure.
| # | Session | Topics |
|---|---|---|
| 1 | Combinatorial Optimisation Problems in Automotive Why fleet logistics is computationally hard |
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| 2 | QUBO Formulations for Vehicle Routing and Fleet Management Encoding automotive logistics as quantum-native problems |
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| Break, after 50 min | ||
| 3 | Quantum Algorithms for Logistics Optimisation QAOA, VQE, and annealing for automotive problems |
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| 4 | Hands-On: Solving a Fleet Routing Problem with Quantum Computing From problem formulation to hardware execution |
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| Break, after 90 min | ||
| 5 | EV Charging Network Optimisation Where quantum approaches map naturally to the problem |
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| 6 | Current Capabilities and the Road Ahead Honest assessment of what works today and what does not |
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| 7 | Q&A and Pilot Planning | |
Workshops are designed and delivered by QSECDEF in collaboration with sector specialists. All facilitators have direct experience in both quantum technologies and automotive logistics 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
Automotive workshops are co-delivered with sector specialists who bring direct operational experience in fleet management, logistics optimisation, and EV infrastructure planning. This ensures workshop content is grounded in the operational realities of automotive supply chains, fleet operations, and charging network deployment.
Sessions are configured around your fleet size, routing constraints, logistics infrastructure, and optimisation objectives. Get in touch to discuss requirements and schedule a date.
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