

From Theory to Terminal: Classiq and OQC Deliver Quantum Toolkit for Real-World Logistics
December 5, 2023
Quantum computing has long been seen as a frontier technology locked behind complex theory and specialized hardware, far removed from the daily challenges of supply chain and logistics professionals. That perception is shifting thanks to a groundbreaking partnership announced on December 5, 2023, between Israeli quantum software firm Classiq and UK-based Oxford Quantum Circuits (OQC). Together, they have developed a unified quantum circuit design and execution stack aimed squarely at logistics and supply chain optimization—enabling professionals to harness quantum advantages without needing to become quantum physicists.
At the core of this collaboration is the seamless integration of Classiq’s automated, high-level quantum algorithm design platform with OQC’s Toshiko 32-qubit superconducting processor. Classiq abstracts quantum circuit creation through intuitive interfaces that let users specify business goals—like minimizing delivery times or balancing warehouse inventory—and constraints such as fleet size and fuel limits. The system then automatically generates optimized quantum circuits deployed on OQC’s cloud-connected hardware.
This innovation dramatically lowers the barrier to entry for quantum logistics applications, empowering planners, transportation analysts, and manufacturers to simulate and execute optimization problems including vehicle routing, container loading, and multi-modal scheduling with unprecedented ease.
Some immediate use cases highlight quantum’s growing edge in logistics:
Vehicle Routing Problems (VRP), factoring real-world complexities such as time windows and weather disruptions;
Bin Packing and Container Loading, where quantum algorithms handle intricate 3D constraints more efficiently than classical heuristics;
Depot Location and Inventory Rebalancing, optimizing warehouse networks during peak demand;
Airline and Rail Scheduling, managing crew swaps and asset allocations dynamically amid delays.
While classical solvers have traditionally addressed these problems, quantum approximate optimization algorithms (QAOA) offer the potential to reduce computation time and enhance solution quality, a promise that grows stronger as hardware improves.
Backing this venture are prominent investors including HSBC, Samsung NEXT, Hewlett Packard Enterprise, and NTT Finance, underlining strong commercial interest. OQC, operating the UK’s first commercially available quantum computer, leverages its patented Coaxmon 3D qubit architecture for high-fidelity, scalable performance.
Crucially, the Classiq–OQC toolkit is designed for real-world enterprise integration, supporting APIs for platforms like SAP, Oracle, and Microsoft Dynamics, and enabling hybrid classical-quantum workflows. This means logistics teams can simulate scenarios extensively before deploying optimized plans into live operations.
The partnership also opens the door to “quantum logistics-as-a-service” models, where providers can access quantum-powered optimization on demand—transforming how freight operators respond to challenges such as port congestion or supply chain disruptions.
With competitors like IBM, Microsoft, and Amazon focusing on general-purpose quantum platforms, Classiq and OQC’s verticalized approach offers a distinct advantage in logistics, particularly supported by the UK’s National Quantum Technologies Programme.
Looking ahead, 2024 promises pilot projects across European ports and rail systems, integration with carbon-aware supply chain tools, and user-friendly drag-and-drop interfaces to broaden accessibility.
In sum, the Classiq–OQC partnership marks a pivotal moment in moving quantum logistics from research labs into practical, operational use—giving supply chain planners powerful new tools to optimize, adapt, and deliver in an increasingly complex world.
