What is OPUS?
Siegen University Library provides a free of charge repository named OPUS Siegen (OPUS = Online PUblication Server) with the purpose to publish, archive and retrieve electronical documents produced at the University of Siegen.
What will you find here?
You will find Open-Access-Publications from all faculties of Siegen University and from the "universi" publishing house. The University Library applies acknowledged quality standards and offers support for publishing your documents.
How to participate?
For uploading documents, sign on to OPUS via Shibboleth using your ZIMT-Account.
Recently published
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Publication Open Access Exploring nonclassicality in quantum theory via convex optimization(2025)The term nonclassicality refers to fundamental features of quantum theory that are incompatible with the predictions of classical physics. This thesis explores several manifestations of nonclassicality, including the negativity of the Glauber-Sudarshan function of light and spin systems, quantum entanglement, and quantum memory effects in dynamical processes. Since these phenomena are responsible for the operational advantages of modern quantum technologies, their detection and characterization is a key challenge in both theoretical and experimental quantum science. A unifying theme throughout this work is the development of efficient, scalable methods to detect and quantify nonclassical features of quantum systems. Methodologically, the thesis is not only grounded on the formulation of nonclassicality in terms of abstract convex optimization problems, but also explores semidefinite programming relaxations, which provide tractable approximations for them. In the first part, we introduce detection methods for nonclassicality in single quantum systems, such as light modes. Here, we show how the theory of nonnegative polynomials can be used to optimally exploit data capturing the nonclassical nature of light. Specifically, we show that the convex cone of nonnegative polynomials can reveal nonclassicality in data even when it is hidden from standard detection methods up to now. Further, inspired by the nonclassicality of quantum particles, we introduce Wigner representations in generalized probabilistic theories and provide conditions under which they are unique. Turning to correlations between several systems, in the second part, we develop the polytope approximation technique for certifying separability and detecting entanglement in both bipartite and multipartite systems. This leads to an algorithm which, for practical purposes, conclusively recognizes bipartite separability for small and medium-size dimensions. For multipartite systems, the approach allows characterizing a range of different separability classes for up to five qubits or three qutrits. Finally, we systematically identify quantum states showing subtle forms of multipartite entanglement, such as strongly entangled three-qubit states which are separable in each bipartite split. In the last part, we turn to nonclassical phenomena in quantum systems that evolve in time. Specifically we investigate channel discrimination protocols under memory restrictions and the detection of quantum memory effects in quantum dynamical processes. By formulating these problems using the concept of convex optimization, we provide operational criteria to distinguish classical memory from genuine quantum memory. Practically, this allows us to systematically prove the presence of genuine quantum memory in spontaneous emission processes and to propose schemes for its experimental detection.Source Type:10 8 - Some of the metrics are blocked by yourconsent settings
Publication Open Access Hochschuldidaktische Methoden von A bis Z(2025-08-18)This collection provides an overview of various teaching methods that can be used in higher education. All entries are summarised according to the following three criteria: level of difficulty (easy, medium or difficult), estimated duration of use and recommended group size. Additional links and references to relevant tools are also provided for each method.Source Type:22 23 - Some of the metrics are blocked by yourconsent settings
Publication Open Access „hot auf Zerstörung“? Rezos Medienkritik aus diskurslinguistischer Perspektive(2025)Die vorliegende Arbeit widmet sich der linguistischen Analyse von Medienkritik im digitalen Zeitalter am Beispiel des YouTubers Rezo. Im Fokus steht das im Jahr 2020 veröffentlichte Video „Die Zerstörung der Presse“, in dem Rezo etablierte deutsche Printmedien einer kritischen Betrachtung unterzieht. Auf Basis eines qualitativen Analyseansatzes werden drei Videos betrachtet: das Ursprungsvideo Rezos, die Reaktion der FAZ („Unsere Antwort auf Rezos „Zerstörung der Presse““) sowie Rezos Reaktionsvideo („Die dümmsten und lustigsten Reaktionen“). Die Analyse demonstriert, wie sich Rezo durch den Einsatz sprachlicher Kreativität und bewusster Inszenierung zwischen journalistischer Kritik und Politainment befindet. Im Rahmen der Analyse werden verschiedene Aspekte der Videos untersucht, darunter der Aufbau, die Verwendung von Anglizismen sowie der Pronomina-Gebrauch als Index einer adressatengerechten Gestaltung. Rezos Medienkritik ist gekennzeichnet durch jugendsprachliche Elemente, eine direkte Adressierung und diskursive Strategien, die auf eine junge Zielgruppe zugeschnitten sind. Die kontrastive Analyse mit dem FAZ-Video offenbart zudem Diskrepanzen in der sprachlichen Darstellung von Glaubwürdigkeit. Die vorliegende Arbeit leistet somit einen Beitrag zur Erforschung digitaler politischer Kommunikation aus sprachwissenschaftlicher Perspektive.14 32 - Some of the metrics are blocked by yourconsent settings
Publication Open Access Thin-Film Device Development and Technologies - Sensing Principles and Application-Specific Examples(2023-12-19)Advanced on-chip integrated photonic and electronic devices, such as hyperspectral photodetectors, depth sensors or memristors, obtain significant drawbacks with respect to performance and/or the technological integration effort. To overcome such limitations, optimized materials and innovative device concepts were developed to maximize performance and integration densities for specific applications. The selected thin and ultra-thin film material examples can obtain significant advantages and exhibit fundamentally different and adjustable material properties compared to their bulk monocrystalline counterparts. Exploiting the benefitial properties of two dimensional (2D) and amorphous semiconducting materials allows the development of high-performance optoelectronic devices, especially for sensing applications. The aim of this work is to demonstrate how novel 2D-material and conventional thin-film semiconductor processing platforms and technologies can be combined to enable a heterogenous device integration on top of chip electronics with enhanced performance. As device examples, 2D-material heterostructure photodetectors for enhanced sensing applications, nonlinear amorphous silicon and graphene photodetectors for depth sensing as well as thin-film memristors for the development of neuro-inspired “smart” cameras are presented, discussed and compared with the state-of-the-art.Source Type:3 10 - Some of the metrics are blocked by yourconsent settings
Publication Open Access Dynamic Reconfiguration and Fault Diagnosis in Time-Triggered Multi-Core Architectures(2025)The growing complexity of modern System-on-Chip (SoC) designs, coupled with their application in safety-critical domains, requires significant advancements in fault tolerance and energy efficiency. Safety-critical systems, where failures can result in catastrophic consequences, demand reliable and efficient communication frameworks. Despite considerable advancements, challenges persist in achieving accurate fault localization, ensuring adaptability in real-time fault scenarios, and maintaining energy-efficient operation across diverse Network-on-Chip(NoC) topologies. The first part of the thesis introduces an adaptive communication service for time-triggered NoCs, which dynamically adjusts schedules in response to events such as slack, battery depletion, and faults. This approach enhances energy efficiency by employing techniques such as Dynamic Voltage and Frequency Scaling (DVFS) and clock gating, and it supports timely communication while maintaining fault isolation. The second part focuses on fault detection, localization within time-triggered and event-triggered NoCs. A diagnostic architecture incorporating deterministic behavior and source-based routing enables precise identification and localization of faults. The Fault Monitor Unit plays a key role in detecting errors at run-time through real-time monitoring of message validity and timing. Once detected, faults are localized using techniques such as Cyclic Redundancy Code (CRC) checks and time-stamp analysis. Recovery is achieved by isolating the affected component and dynamically rerouting messages or reallocating tasks to healthy nodes using predefined schedule, minimizing system disruption. These solutions are validated through simulations and experimental scenarios across various NoC topologies, demonstrating significant improvements in fault tolerance and system adaptability. The experimental results validate the proposed architectures across a range of scenarios, including both synthetic and real-world avionics configurations. Latency tests conducted on 2x2, 3x3, and 4x4 mesh topologies exhibit predictable delay patterns across varying packet sizes. Additionally, memory optimization techniques, which focus on storing only the differences in schedules, effectively reduce storage requirements. Fault detection achieved a 100% rate for single faults in routers, tiles, and links across various network topologies such as mesh, torus, and ring, with accurate localization in most cases. The results emphasize the scalability, robustness, and adaptability of the proposed methods, demonstrating their suitability for deployment in safety-critical domains such as automotive, aerospace, and industrial automation.Source Type:7 15