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    <language>eng</language>
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    <pageLast>17</pageLast>
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    <edition/>
    <issue/>
    <volume>8</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
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    <title language="eng">Industry quantum computing applications</title>
    <abstract language="eng">Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing research and funding programs with the objective to dvance the technology’s ecosystem and industrialization, thereby ensuring digital sovereignty, security, and competitiveness. Such an ecosystem comprises hardware/software solution providers, system integrators, and users from research institutions, start-ups, and industry. The vision of the Quantum Technology and Application Consortium (QUTAC) is to establish and advance the quantum computing ecosystem, supporting the ambitious goals of the German government and various research programs. QUTAC is comprised of ten members representing different industries, in particular automotive manufacturing, chemical and pharmaceutical production, insurance, and technology. In this paper, we survey the current state of quantum computing in these sectors as well as the aerospace industry and identify the contributions of QUTAC to the ecosystem. We propose an application-centric approach for the industrialization of the technology based on proven business impact. This paper identifies 24 different use cases. By formalizing high-value use cases into well-described reference problems and benchmarks, we will guide technological progress and eventually commercialization. Our results will be beneficial to all ecosystem participants, including suppliers, system integrators, software developers, users, policymakers, funding program managers, and investors.</abstract>
    <parentTitle language="eng">EPJ Quantum Technology</parentTitle>
    <identifier type="doi">10.1140/epjqt/s40507-021-00114-x</identifier>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Andreas Bayerstadler</author>
    <author>Guillaume Becquin</author>
    <author>Julia Binder</author>
    <author>Thierry Botter</author>
    <author>Hans Ehm</author>
    <author>Thomas Ehmer</author>
    <author>Marvin Erdmann</author>
    <author>Norbert Gaus</author>
    <author>Philipp Harbach</author>
    <author>Maximilian Hess</author>
    <author>Johannes Klepsch</author>
    <author>Martin Leib</author>
    <author>Sebastian Luber</author>
    <author>Andre Luckow</author>
    <author>Maximilian Mansky</author>
    <author>Wolfgang Mauerer</author>
    <author>Florian Neukart</author>
    <author>Christoph Niedermeier</author>
    <author>Lilly Palackal</author>
    <author>Ruben Pfeiffer</author>
    <author>Carsten Polenz</author>
    <author>Johanna Sepulveda</author>
    <author>Tammo Sievers</author>
    <author>Brian Standen</author>
    <author>Michael Streif</author>
    <author>Thomas Strohm</author>
    <author>Clemens Utschig-Utschig</author>
    <author>Daniel Volz</author>
    <author>Horst Weiss</author>
    <author>Fabian Winter</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Benchmarks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Industry application</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quantum computing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>QUTAC</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reference problems</value>
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  <doc>
    <id>8704</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>20</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
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    <title language="eng">Developing a smart and scalable tool for histopathological education—PATe 2.0</title>
    <abstract language="eng">Digital microscopy plays a crucial role in pathology education, providing scalable and standardized access to learning resources. In response, we present PATe 2.0, a scalable redeveloped web-application of the former PATe system from 2015. PATe 2.0 was developed using an agile, iterative process and built on a microservices architecture to ensure modularity, scalability, and reliability. It integrates a modern web-based user interface optimized for desktop and tablet use and automates key workflows such as whole-slide image uploads and processing. Performance tests demonstrated that PATe 2.0 significantly reduces tile request times compared to PATe, despite handling larger tiles. The platform supports open formats like DICOM and OpenSlide, enhancing its interoperability and adaptability across institutions. PATe 2.0 represents a robust digital microscopy solution in pathology education enhancing usability, performance, and flexibility. Its design enables future integration of research algorithms and highlights it as a pivotal tool for advancing pathology education and research.</abstract>
    <parentTitle language="eng">Journal of Pathology Informatics</parentTitle>
    <identifier type="issn">2153-3539</identifier>
    <identifier type="doi">10.1016/j.jpi.2025.100535</identifier>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Lina Winter</author>
    <author>Annalena Artinger</author>
    <author>Hendrik Böck</author>
    <author>Vignesh Ramakrishnan</author>
    <author>Bruno Reible</author>
    <author>Jan Albin</author>
    <author>Peter J. Schüffler</author>
    <author>Georgios Raptis</author>
    <author>Christoph Brochhausen</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
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