A QUBO Formulation for the Generalized LinkedIn Queens Game
<|reference_start|>A QUBO Formulation for the Generalized LinkedIn Queens Game: In this paper, we present a QUBO formulation designed to solve a series of generalisations of the LinkedIn queens game, a version of the N-queens problem. We adapt this formulation for several particular cases of the problem by trying to optimise the number of variables and interactions, improving the possibility of applying it on quantum hardware by means of Quantum Annealing or the Quantum Approximated Optimization Algorithm (QAOA). We also present two new types of problems, the Coloured Chess Piece Problem and the Max Chess Pieces Problem, with their corresponding QUBO formulations.<|reference_end|>
@article{ali2024a,
    title={A QUBO Formulation for the Generalized LinkedIn Queens Game},
    author={Alejandro Mata Ali and Edgar Mencia},
    journal={arXiv preprint arXiv:2410.06429},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.06429},
    primaryClass={quant-ph cs.ET physics.pop-ph}
}