Evaluating the performance of quantum devices is an important step towards scaling quantum devices and eventually using them in practice. The great number of available quantum metrics and the different hardware technologies used to develop quantum computers complicate this evaluation. In addition, different computational paradigms implement quantum operations in different ways. A prominent quantum metric is given by the Q-score metric of Atos. This metric was originally introduced as a standalone way to benchmark devices using the Max-Cut problem. In this work, we show that the Q-score defines a framework of quantum metrics, which allows benchmarking using different problems, user settings and solvers. To showcase the applicability of the framework, we showcase a second Q-score in this framework, called the Q-score Max-Clique. This yields, to our knowledge, the first application-level metric capable of natively comparing three different paradigms of quantum computing. This metric is evaluated on these computational quantum paradigms - quantum annealing, gate-based quantum computing, and photonic quantum computing - and the results are compared to those obtained by classical solvers.

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Most telecom operators have to plan the migration of their existing copper networks to full or hybrid fibre networks, to offer their clients the bandwidth they require. This paper
proposes methods to optimise this migration path, heterogeneously per central office area, using geometric models as input. The methods result in a detailed migration path that meets a required bandwidth coverage, installation capacity and/or budget constraint. To solve the optimisation problem in an efficient way, both a problem-based solution method and a simulated annealing approach are tested for scalability of the problem solving. As the data used for the migration path optimisation is in practice
hard to gather, the use of geometric modelling is proposed. This modelling approach leads to the optimal migrating path, estimating the total initial investment of a migration step using only two simple parameters per Central Office area.@en