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- TextdokumentQuantum Computer and Quantum Algorithm Benchmarking(INFORMATIK 2022, 2022) Müssig,Daniel; Lässig,JörgQuantum computing is an exciting field, which brought out many competitors, both on the hardware and algorithmic side. Although users are not expecting to outperform classical machines yet, they are still interested in quantum computers, which can demonstrate advantages of their algorithms best. However, for users, especially in the industry, it is not easy to find a quantum device, which fits their needs. This problem arises from an unmanageable amount of meta information about qubits and connections between them such as fidelity, error rates and timings. In this paper we propose a web tool, which helps the user to find quantum computers best suited for their problem or quantum algorithm. Further, it will generate necessary graphs and reports for benchmark studies, which can be directly included in papers of scientists.