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    Completed Consortium

    Quantum-Accelerated Mixed-Integer Optimisation for Aircraft Loading

    A 4colors-led proof of concept that tested hybrid classical and quantum algorithms for loading cargo on aircraft.

    Project data last updated 11 October 2026

    About this project

    Aircraft cargo loading means deciding what to load and where, while meeting weight, balance and structural limits. 4colors Research led the project with Airbus, ORCA Computing and the NQCC. DNV took part as an observer.

    The team ran hybrid algorithms on gate-based and photonic quantum hardware and compared them with classical methods. It was one of the NQCC SparQ proof of concept projects for 2025-26, awarded under the 2025 STFC Cross Cluster Proof of Concept call.

    Lead organisation

    4colors Research

    Company · Cambridge

    Optimisation solver company that won the Airbus and BMW quantum challenge and led an NQCC SparQ project on aircraft cargo loading with Airbus and ORCA.

    Partners (3)

    Funders

    • NQCC

      Research organisation · Harwell

    In the news

    Quantum Zeitgeist articles naming the lead organisation or partners. They may not be about this project.

    All news for this project and its partners

    Sources

    1. NQCC: Quantum-Accelerated Mixed-Integer Optimisation for Aircraft Loading (nqcc.ac.uk)
    2. NQCC: Collaborative R&D (SparQ proof of concept projects) (nqcc.ac.uk)
    3. Quantum Zeitgeist: Quantum Computing Optimizes Aircraft Cargo Loading (quantumzeitgeist.com)