Robert Wille, a Professor at the Technical University of Munich and Software Competence Center, discusses the key to data structures when solving quantum computing problems. Vectors and matrices are the most intuitive data structures for quantum computing. Decision Diagrams aim to overcome this exponential complexity by uncovering and exploiting redundancies within the involved quantum states and operations. Tensor Networks can help to alleviate the complexity of representing quantum states. The ZX-calculus is a graphical notation for quantum circuits equipped with a powerful set of rewrite rules that enable diagrammatic reasoning about quantum computing. It is this flexibility of being able to leave the quantum circuit formalism to a good intermediate language when working with quantum circuits. The Basis-Calation Conference of Design Tools . . .