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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Benjamin M. Abdel-Karim,Franz Xaver Kollmering (QA) or the quantum approximate optimization algorithm (QAOA). Our approach requires fewer couplings and fewer physical qubits than the current state-of-the-art, which results in higher solution quality. We verified the practical applicability of the approach by testing it on a D-Wave quantum annealer.

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Black Box Optimization Using QUBO and the Cross Entropy Methodate model which approximates the target black-box function which can then be solved via white-box optimization methods. In this paper, we present our approach ., where the surrogate model is a QUBO matrix. However, unlike in previous state-of-the-art approaches, this matrix is not trained entirely b

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Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Licompatibilities across platforms, which end up as inconsistencies in the developed solutions. We propose a design called Quantum Factory Method, based on software engineering and design patterns, to solve these issues by integrating different quantum platforms in the same development. We provide exa

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A Polynomial Size Model with Implicit SWAP Gate Counting for Exact Qubit Reorderingits. Existing circuits need therefore to be modified via the insertion of SWAP gates, which alter the qubit order by interchanging the location of two qubits’ quantum states. We consider the Nearest Neighbor Compliance problem on a linear array, where the number of required SWAP gates is to be minim