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.
Role: Lead
Themes: Computing, Software and algorithms
Company · Cambridge
4colors Research writes optimisation solvers for scheduling, routing, packing and assignment, and treats quantum computers as accelerators for parts of those searches rather than replacements. It took first place in the Airbus and BMW Group Quantum Computing Challenge and reached the semifinals of the XPRIZE quantum applications competition. Through the NQCC's SparQ programme it led a consortium with Airbus, ORCA Computing and the NQCC, with DNV observing, that ran hybrid algorithms for aircraft cargo loading on gate-based and photonic hardware and benchmarked them against classical methods.
4colors Research, based in Cambridge, is a company whose work covers quantum software and optimisation; it was founded in 2016. It leads 1 UK project (Quantum-Accelerated Mixed-Integer Optimisation for Aircraft Loading).
Sources: 4colors Research · Quantum-Accelerated Mixed-Integer Optimisation for Aircraft Loading (NQCC) · Quantum computing optimizes aircraft cargo loading (Quantum Zeitgeist, February 2026)
A 4colors-led proof of concept that tested hybrid classical and quantum algorithms for loading cargo on aircraft.
Role: Lead
Themes: Computing, Software and algorithms
Recent articles from Quantum Zeitgeist that mention 4colors Research.
A consortium led by 4colors Research has received funding to explore using quantum computing for optimizing aircraft cargo loading, a complex logistical challenge. This collaborative project aims to improve efficiency, reduce fuel consumption, and enhance fleet capacity for airlines and cargo operat
Image © Quantum Zeitgeist
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Company · London · 3 shared specialisms
Company · London · 3 shared specialisms
Company · London · 2 shared specialisms
Company · London · 2 shared specialisms
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