This article considers the reconstruction of particle tracks in high-energy detectors as a global optimisation problem. Detector hits are combined into local geometric segments and represented by binary variables within a quadratic unconstrained binary optimisation (QUBO) model. The QUBO coefficients encode geometric consistency and mutual compatibility between neighboring segments. The resulting optimisation problem is solved using simulated annealing, and the reconstruction performance is evaluated in terms of purity and efficiency. The approach achieves high reconstruction quality, while the dominant computational cost arises from the construction of the QUBO model itself. The article concludes by outlining the potential for further optimisation and the prospect of more favorable scaling using quantum optimisation methods.

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