Workshops Logistics Quantum Computing in Logistics
Logistics Full Day Workshop

Quantum Computing in Logistics

Fleet routing, warehouse operations, and last-mile delivery as quantum optimisation problems. QUBO formulations, QAOA, quantum annealing, and classical benchmarks on real logistics instances.

Full day (6 hours + Q&A)
In person or online
Max 30 delegates

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QSP
IDQ
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Entopya
Belden
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Zenith Studio
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GQI
Upperside Conferences
Austrade
Arrise Innovations
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Entrust
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Workshop Description

Full-day workshop on quantum optimisation for logistics operations. Covers vehicle routing as QUBO, warehouse pick-path optimisation via quantum annealing, last-mile delivery rerouting, and workforce scheduling with honest NISQ hardware benchmarks.

Logistics operations are built on combinatorial optimisation problems. Vehicle routing with capacity constraints and time windows, warehouse pick-path sequencing, container loading, workforce shift assignment: these are NP-hard or NP-complete problems where solution quality directly affects cost. Quantum computing offers a different computational approach to these problems through QUBO (Quadratic Unconstrained Binary Optimisation) formulations. This workshop teaches participants to formulate specific logistics problems as QUBOs, solve them using both quantum annealing (D-Wave Advantage, 5000+ qubits) and gate-based QAOA (Farhi et al. 2014), and benchmark results against established classical solvers like Google OR-Tools and Gurobi. Current quantum hardware handles roughly 150-200 fully connected variables after minor embedding, which limits practical problem sizes. The workshop is direct about these constraints while also covering quantum-inspired classical solvers (Fujitsu Digital Annealer, Toshiba SQBM+) that handle 100,000+ variables on existing infrastructure and may be the right near-term choice for many logistics organisations.

What participants cover

  • QUBO formulation for logistics: translating vehicle routing, bin packing, and scheduling problems into quantum-compatible representations
  • Quantum annealing for logistics: D-Wave Advantage architecture, minor embedding, chain strength calibration, and hybrid solver integration
  • QAOA for combinatorial decisions: MaxCut reduction, variational parameter optimisation, and circuit depth requirements on gate-based hardware
  • Last-mile and warehouse operations: dynamic rerouting, pick-path optimisation, and container loading as constrained optimisation problems
  • Classical benchmarking: comparing quantum solutions against Google OR-Tools, Gurobi, and simulated annealing on matched problem instances
  • Quantum-inspired alternatives: Fujitsu Digital Annealer and Toshiba SQBM+ for logistics-scale problems deployable on current infrastructure

Preliminary Agenda

Full Day Workshop structure with scheduled breaks. Content is configurable to your organisation's fleet size, warehouse complexity, and operational priorities.

# Session Topics
1 Logistics Optimisation as a Combinatorial Problem Why fleet routing, warehouse layout, and scheduling are quantum-amenable
2 Quantum Algorithms for Routing and Scheduling QAOA, VQE, and quantum annealing applied to logistics operations
  • Vehicle routing problem (VRP) formulated as QUBO: capacitated, time-windowed, and multi-depot variants
  • QAOA (Farhi et al. 2014) for combinatorial logistics decisions: MaxCut reduction to fleet assignment
  • Quantum annealing on D-Wave Advantage for job-shop scheduling and warehouse pick-path optimisation
Break, after 60 min
3 Warehouse and Last-Mile Operations Specific quantum formulations for inbound, storage, and delivery
  • Bin packing and container loading as constrained QUBO problems: penalty term calibration for capacity limits
  • Last-mile delivery optimisation: dynamic rerouting with real-time constraint updates on hybrid solvers
  • Workforce scheduling: shift assignment as a graph colouring problem mapped to quantum hardware
4 Interactive Demonstration Solving a 20-vehicle routing problem on quantum and classical hardware
  • QUBO formulation of a capacitated VRP with time windows using Ocean SDK
  • Comparison: D-Wave hybrid solver versus Google OR-Tools versus simulated annealing on the same instance
  • Analysing solution quality, runtime, and scaling behaviour as fleet size increases
Break, after 90 min
5 Hardware Constraints and Honest Benchmarks What NISQ devices can solve today versus the fault-tolerant horizon
  • Problem size limits: current quantum annealers handle roughly 150-200 fully connected variables after minor embedding
  • Gate-based QAOA on 100-qubit devices: circuit depth constraints and noise accumulation at logistics scale
  • Quantum-inspired alternatives: Fujitsu Digital Annealer and Toshiba SQBM+ solving 100,000+ variable problems on classical hardware today
6 Adoption Strategy and Vendor Landscape Connecting quantum research to operational logistics systems
7 Q&A and Action Planning

Designed and Delivered By

Workshops are designed and delivered by QSECDEF in collaboration with sector specialists. All facilitators have direct experience in both quantum technologies and logistics systems.

QD

Quantum Security Defence

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.

LO

Logistics Sector Partners

Domain expertise and operational validation

Logistics workshops are co-delivered with sector specialists who bring direct operational experience in logistics organisations. This ensures workshop content is grounded in regulatory, operational, and technical realities specific to the sector.

Commission This Workshop

Sessions are configured around your fleet composition, warehouse network, delivery constraints, and existing optimisation infrastructure. Get in touch to discuss requirements and schedule a date.

Contact Us

Quantum technologies are evolving quickly and new developments emerge regularly. This page was last updated on 15/03/2026. For the most current information about course content and suitability for your organisation, we recommend contacting us directly.