LOGISTICS-SHIPPING
Efficient logistics and routing optimisation is one of the most promising near-term applications of quantum computing, with relevance across shipping, transportation, energy, mobility, and supply-chain operations. At AngelQ Quantum Computing, we have developed proprietary qubit-efficient quantum optimisation techniques that dramatically reduce the number of qubits and quantum gates required to solve large-scale industrial problems, enabling practical execution on today's quantum hardware. As an example, we worked with ExxonMobil on complex logistics and vehicle-routing optimisation scenarios, demonstrating problems involving up to 3964 routes using only 13 qubits-achieving improvements of up to 20-1000x in qubit efficiency compared to conventional quantum approaches. These methods were validated on quantum hardware platforms including IBM, IonQ, and Rigetti Computing.
Qubit efficient quantum algorithms for the vehicle routing problem on NISQ processors
We worked with ExxonMobil to develop and validate next-generation quantum optimisation approaches for complex logistics and vehicle-routing problems inspired by real industrial shipping scenarios. Leveraging our proprietary qubit-efficient encoding techniques, we demonstrated the solution of optimisation problems involving up to 3964 routes using only 13 qubits—achieving improvements of up to 200-1000x in qubit efficiency compared to conventional quantum approaches. This work, carried out in collaboration with researchers from the Centre for Quantum Technologies and the Technical University of Crete, was executed and validated on quantum hardware from IBM and IonQ, enabling practical hybrid quantum-classical workflows for large-scale industrial optimisation across logistics, transportation, mobility, energy, and infrastructure applications.