Titlebook: Computational Science – ICCS 2023; 23rd International C Jiří Mikyška,Clélia de Mulatier,Peter M.A. Sloot Conference proceedings 2023 The Ed

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. Teaching Quantum Computing through a Game-Based Approachthesis that traditional teaching is insufficient to prepare people for their introduction to this field, this paper presents ., an innovative board game to promote both the motivation to learn quantum computing and the understanding of several essential concepts of that field. The reasons for the ch

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Software Aided Approach for Constrained Optimization Based on QAOA Modificationsng the QHyper framework, which we developed specifically for this purpose. More specifically, we use the created framework to compare the QAOA results with its two modifications, namely: Weight-Free QAOA (WF-QAOA) and Hyper QAOA (H-QAOA). Additionally, we compare the Basin-hopping global optimizatio

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Learning , Models for Quantum Annealing: A Constraint-Based Approachgh, being a heuristic method, there is no guarantee to find the global optimum. Optimization problems solved by a Quantum Annealer machine are modeled as Quadratic Unconstrained Binary Optimization (.) problems. Combinatorial optimization problems, where variables take discrete values and the optimi

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