Dr. rer. nat.

Ritter, Tom

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  • Publication
    Quantum DevOps: Towards reliable and applicable NISQ Quantum Computing
    ( 2020)
    Gheorghe-Pop, Ilie-Daniel
    ;
    Tcholtchev, Nikolay
    ;
    Ritter, Tom
    ;
    Hauswirth, Manfred
    Quantum Computing is emerging as one of the great hopes for boosting current computational resources and enabling the application of ICT for optimizing processes and solving complex and challenging domain specific problems. However, the Quantum Computing technology has not matured to a level where it can provide a clear advantage over high performance computing yet. Towards achieving this "quantum advantage", a larger number of Qubits is required, leading inevitably to a more complex topology of the computing Qubits. This raises additional difficulties with decoherence times and implies higher Qubit error rates. Nevertheless, the current Noisy Intermediate-Scale Quantum (NISQ) computers can prove useful despite the intrinsic uncertainties on the quantum hardware layer. In order to utilize such error-prone computing resources, various concepts are required to address Qubit errors and to deliver successful computations. In this paper describe and motivate the need for the novel concept of Quantum DevOps. which entails regular checking of the reliability of NISQ Quantum Computing (QC) instances. By means of testing the computational reliability of basic quantum gates and computations (C-NOT, Hadamard, etc.)it consequently estimates the likelihood for a large scale critical computation (e.g. calculating hourly traffic flow models for a city) to provide results of sufficient quality. Following this approach to select the best matching (cloud) QC instance and having it integrated directly with the processes of development, testing and finally the operations of quantum based algorithms and systems enables the Quantum DevOps concept.
  • Publication
    Enabling the interoperability of the Modelica DSL and Matlab Simulink towards the development of self-adaptive dynamic systems
    ( 2018)
    Tcholtchev, Nikolay
    ;
    Dudeck, Grit
    ;
    Wagner, Michael
    ;
    Hein, Christian
    ;
    Prakash, Arun
    ;
    Ritter, Tom
    Domain Specific Languages (DSL) are an important concept that is used in industry, in order to enable the fast and cost-efficient design of specific functions/components, and/or to target particular aspects of the systems' development and operation. In the current article, the authors describe their experiences on the integration of the Modelica DSL into a platform that enables the integration and interoperability of model-based tools across the various phases of the system development process. Furthermore, it is illustrated how Matlab Simulink can be used in parallel in the course of the same system design undertaking. Thereby, the authors present their approach and compare different tools which were used, in order to efficiently complete the integration, and finally exemplify the outcome on a case study related to a self-adaptive dynamic system from the automotive domain.
  • Publication
    Integrating the Modelica DSL into a platform for model-based tool interoperability
    ( 2014)
    Tcholtchev, Nikolay
    ;
    Dudeck, Grit
    ;
    Wagner, Michael
    ;
    Hein, Christian
    ;
    Prakash, Arun
    ;
    Ritter, Tom
    Domain Specific Languages (DSL) are an important concept that is used in industry, in order to enable the fast and cost efficient design of specific functions/components, and/or to target particular aspects of the systems' development and operation. In the current paper, we describe our experiences on the integration of the Modelica DSL into a platform that enables the integration and interoperability of model-based tools across the various phases of the system development process. Thereby, we present our approach, compare different tools which were used, in order to efficiently complete the integration, and finally exemplify the outcome on a case study from the automotive domain.