{"id":537,"date":"2025-02-27T10:34:14","date_gmt":"2025-02-27T09:34:14","guid":{"rendered":"https:\/\/flaqship.eu\/?page_id=537"},"modified":"2026-03-23T09:39:55","modified_gmt":"2026-03-23T08:39:55","slug":"initiativen","status":"publish","type":"page","link":"https:\/\/flaqship.eu\/en\/initiativen\/","title":{"rendered":"Initiatives &amp; Projects"},"content":{"rendered":"<div style=\"height:200px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-aa403e6c\"><h2 class=\"uagb-heading-text\"><strong>Initiatives &amp; Projects<\/strong><\/h2><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>At flaQship, we drive forward a variety of strategic initiatives, research collaborations, and industry projects. <br>Our work centers around the key locations of Stuttgart and Heilbronn\u2014home to the Baden-W\u00fcrttemberg Competence Center for Quantum Computing and the Fraunhofer Heilbronn Research and Innovation Center for Applied Quantum AI.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"847\" height=\"1024\" src=\"https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-847x1024.png\" alt=\"\" class=\"wp-image-1387\" style=\"width:290px;height:auto\" srcset=\"https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-847x1024.png 847w, https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-248x300.png 248w, https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-768x929.png 768w, https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-1270x1536.png 1270w, https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-1693x2048.png 1693w, https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-10x12.png 10w, https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-600x726.png 600w, https:\/\/flaqship.eu\/wp-content\/uploads\/2025\/05\/BaWue-Visual_v06_druck_01-1-1200x1451.png 1200w\" sizes=\"auto, (max-width: 847px) 100vw, 847px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Competence Center Quantum Computing Baden-W\u00fcrttemberg<br><\/strong><\/h3>\n\n\n\n<p>The Competence Center Quantum Computing Baden-W\u00fcrttemberg (KQCBW) focuses on application-oriented (quantum) hardware-software co-design to prepare and empower companies in Baden-W\u00fcrttemberg for the use of this transformative technology. Our goal is to develop practical solutions that unlock the potential of quantum computing for real-world industrial applications.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Quantum Algorithms for Industrial Applications<\/strong> <br>We develop new algorithms tailored for current Noisy Intermediate-Scale Quantum (NISQ) systems and future fault-tolerant quantum computers.<\/li>\n\n\n\n<li><strong>Spin-Based Quantum Hardware for Mobile Applications <\/strong><br>We research and develop compact, high-performance quantum processors for mobile applications.<\/li>\n<\/ul>\n\n\n\n<p>The Baden-W\u00fcrttemberg Quantum Computing Competence Center is funded by the Ministry of Economic Affairs, Labor, and Tourism.<\/p>\n\n\n\n<p>Publications: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">N. Schillo, A. Sturm, R. Quay (2026). \u201cBlock Encoding Linear Combinations of Pauli Strings Using the Stabilizer Formalism\u201d. <br>url: <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2601.05740\" target=\"_blank\" rel=\"noreferrer noopener\"> https:\/\/doi.org\/10.48550\/arXiv.2601.05740<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">A. Sturm and N. Schillo (2025). &#8222;Efficient and Explicit Block Encoding of Finite Difference Discretizations of the Laplacian&#8220;.<br>url: <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2509.02429\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2509.02429<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">L. Rullk\u00f6tter,&nbsp;S. Weber,&nbsp;V. M. Katukuri,&nbsp;C. Tutschku,&nbsp;B. C. Mummaneni (2025). &#8222;Resource-efficient Variational Block-Encoding&#8220;. <br>url: <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2507.17658\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2507.17658<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.kqcbw.de\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">learn more<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Forschungs- und Innovationszentrum f\u00fcr Anwendungsorientierte <\/strong><br><strong>Quanten-KI<\/strong><\/h3>\n\n\n\n<p>The Research and Innovation Center for Applied Quantum AI approaches artificial intelligence (AI) and quantum computing (QC) as interrelated technologies with high integrative potential. By systematically combining quantum algorithms and AI methodologies, the center opens new avenues for advancing research, enabling industrial innovation, and addressing complex societal challenges.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Quantum AI Algorithms &amp; Use Cases<\/strong> <br>New algorithms and practical applications are paving the way to leverage the power of quantum computing for AI, enhancing its performance and expanding its capabilities.<\/li>\n\n\n\n<li><strong>Business Models and Tools for Quantum Technologies<\/strong><br>To successfully transfer quantum technologies into industry and business, we develop forward-thinking business models and practical tools that facilitate real-world adoption.<\/li>\n\n\n\n<li><strong>Knowledge Transfer for Quantum AI<\/strong><br>Through innovative educational and exchange formats with local partners, Quantum AI becomes accessible and hands-on. This accelerates the transfer of scientific knowledge into real-world applications.<\/li>\n\n\n\n<li><strong>Ecosystem Development and Enablement<\/strong><br>A vibrant innovation environment emerges where research, industry, and policy come together to shape shared perspectives. Strategic partnerships and focused networks strengthen the ecosystem and foster sustainable technological progress.<\/li>\n<\/ul>\n\n\n\n<p>The Research and Innovation Center for Applied Quantum AI is funded by the Dieter Schwarz Stiftung gGmbH.<\/p>\n\n\n\n<p>Publications: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">Y. Ji, Z.-Y. Chen, M. Roth, D. A. Krpelin, C. Schiffer, M. King, O. Anton, M. S. Alam, M. Krutzik, D. Willsch, L. Mathey, F. K. Wilhelm, G.-P. Guo (2026). &#8222;Quantum Deep Learning: A Comprehensive Review&#8220;. <br>url: <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2603.06644\">https:\/\/doi.org\/10.48550\/arXiv.2603.06644<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">K. Yamaguchi,&nbsp;L. Rullk\u00f6tter,&nbsp;I. Shehzad,&nbsp;S. J. Wagner,&nbsp;C. Tutschku,&nbsp;A. Kempf (2026). &#8222;Experimental demonstration that qubits can be cloned at will, if encrypted with a single-use decryption key&#8220;.<br>url: <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2602.10695\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2602.10695<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">F. Bickert, M.-J. Maier, S. Kaiser, K. H\u00f6lzle (2025). \u201eKollaborative Mensch-KI-Interaktion f\u00fcr datengest\u00fctzte Vorausschau: Ein Human-in-the-Loop-Ansatz zum Trendmonitoring im Bereich Quantencomputing\u201c, 18. Symposium f\u00fcr Vorausschau und Technologieplanung, Berlin. ISSN: 2195-5239.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Y. Ji, M. Roth, D. A. Kreplin, I. Polian, F. K. Wilhelm (2025). \u201eData-Efficient Quantum Noise Modeling via Machine Learning\u201c,<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2509.12933\">https:\/\/doi.org\/10.48550\/arXiv.2509.12933<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">S. Loos, F. Bickert, M. Dotzel, C. K. Tutschku, &amp; S. Kaiser (2024). \u201ePotenziale und Bedarfe des Quantencomputing-\u00d6kosystems.\u201c In O. Riedel, K. H\u00f6lzle, W. Bauer, &amp; B. Bienzeisler (Hrsg.),<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.24406\/publica-3632\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.24406\/publica-3632<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-text-align-left wp-element-button\" href=\"https:\/\/www.hnfiz.fraunhofer.de\/en\/services\/applied-quantum-ai.html\" target=\"_blank\" rel=\"noreferrer noopener\">learn more<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-advanced-heading uagb-block-8e546145\"><h3 class=\"uagb-heading-text\"><strong>Current Reference Projects<\/strong><\/h3><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-4ddf4c69\"><h4 class=\"uagb-heading-text\"><strong>FullStaQD: Full Stack Quantum Computing for Germany<\/strong><\/h4><\/div>\n\n\n\n<p>The FullStaQD flagship project is establishing a quantum computing software infrastructure that is on a par with the hardware. Taking into account the compatibility and interoperability of various components, a holistic quantum computing software stack, a \u201cfull stack,\u201d is being developed.&nbsp;<\/p>\n\n\n\n<p>FullStaQD is funded by the Federal Ministry of Research, Technology, and Space (BMFTR) under grant number 01MQ25001A.<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-6de5bc04\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-74de3a85 wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.digital.iao.fraunhofer.de\/en\/competences\/quantum-computing\/FullStaQD.html\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-c1c3c3b1\"><h4 class=\"uagb-heading-text\"><strong>INQUBATOR Fraunhofer Quantum Computing Testing and Consulting Center<\/strong><\/h4><\/div>\n\n\n\n<p>With INQUBATOR, the Fraunhofer-Gesellschaft is establishing an innovative testing and consulting center that offers companies an easy, practical introduction to quantum computing. Four Fraunhofer Institutes are pooling their expertise in quantum hardware-software-co-design and working with industry partners, especially SMEs, to develop application-oriented use cases.<\/p>\n\n\n\n<p>INQUBATOR is funded by the Federal Ministry of Research, Technology, and Space (BMFTR) under grant number 13N17420.<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-aac6ae70\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-daccb434 wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.fraunhofer-inqubator.de\/\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-36aa611d\"><h4 class=\"uagb-heading-text\"><strong>QuantumBW<\/strong><\/h4><\/div>\n\n\n\n<p>QuantumBW is the umbrella initiative for quantum technology activities in Baden-W\u00fcrttemberg. It connects research and industry to strengthen a future-oriented ecosystem. To this end, we develop targeted formats for knowledge transfer that promote technological developments, enable interdisciplinary exchange, and connect the community in a sustainable way.<\/p>\n\n\n\n<p>QuantumBW is funded by the Baden-W\u00fcrttemberg Ministry of Economic Affairs, Labor, and Tourism and the Baden-W\u00fcrttemberg Ministry of Science, Research, and the Arts.<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-df0da4bc\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-63fb8f0f wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.quantumbw.de\/en\/\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-57d1cd08\"><h4 class=\"uagb-heading-text\"><strong>H2Giga - Series Production of Electrolyzers for Hydrogen Generation<\/strong><\/h4><\/div>\n\n\n\n<p>H2Giga is dedicated to developing scalable, serial production of electrolyzers\u2014following a technology-open approach. Established electrolyzer manufacturers, suppliers from various technology sectors (including many small and medium-sized enterprises), as well as research institutions and universities, are working together to advance existing electrolyzer technologies and methods for mass production.<\/p>\n\n\n\n<p>H2Giga is funded by the Federal Ministry of Research, Technology, and Space (BMFTR) under grant number 03HY110D.<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-c0a2a353\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-f76f2f7e wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.ipa.fraunhofer.de\/de\/referenzprojekte\/H2Giga.html\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<p>Publications: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">M. Hagelueken, D. A. Kreplin, F. Wieland, M. F. Huber, M. Roth (2026). \u201cExponential Scaling Barriers for Variational Quantum Eigensolvers&#8220;. <br>url: <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2603.13073\">https:\/\/doi.org\/10.48550\/arXiv.2603.13073<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">R. F. Ablan, M. Roth, J. Schnabel (2025). \u201cOn the similarity of bandwith-tuned quantum kernels and classcial kernels&#8220;. In: Quantum Sci. Technol.&nbsp;10&nbsp;035051. <br>url: <a href=\"https:\/\/doi.org\/10.1088\/2058-9565\/ade7ad\">https:\/\/doi.org\/10.1088\/2058-9565\/ade7ad<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">D. A. Kreplin and M. Roth (2024). \u201cReduction of finite sampling noise in quantum neural networks\u201d.&nbsp;In: Quantum 8, p. 1385.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.22331\/q-2024-06-25-1385\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.22331\/q-2024-06-25-1385<\/a>.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-dfec1619\"><h4 class=\"uagb-heading-text\"><strong>QCMineral | QUADRANT \u2014 quantum-assisted development of metal oxides with redox function<\/strong><\/h4><\/div>\n\n\n\n<p>As part of the DLR-QCI project QCMineral | QUADRANT, Fraunhofer IAO, together with Fraunhofer IPA, is investigating how quantum computers can accelerate the discovery of advanced redox materials\u2014key components for next-generation energy storage technologies\u2014in a subcontract led by TENSOR AI SOLUTIONS GmbH.<\/p>\n\n\n\n<p>QCMineral is a project of the DLR Quantum Computing Initiative and is funded by the Federal Ministry of Research, Technology, and Space (BMFTR).<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-cd90b689\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-41bff2e9 wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/qci.dlr.de\/qcmineral\/\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-48ce4c8f\"><h4 class=\"uagb-heading-text\"><strong>QCOptSense \u2014 <strong>quantum-based <\/strong>design of optical sensors <\/strong><\/h4><\/div>\n\n\n\n<p>As part of the DLR-QCI project QCOptSens, Fraunhofer IAO is working with Fraunhofer IPA on a subcontract led by HQS Quantum Simulations to investigate new quantum-based approaches for improving optical instruments for aerospace applications.<\/p>\n\n\n\n<p>QCOptSense is a project of the DLR Quantum Computing Initiative and is funded by the Federal Ministry of Research, Technology, and Space (BMFTR).<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-9aece2e2\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-9fef8109 wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/qci.dlr.de\/qcoptsens\/\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-7898b956\"><h3 class=\"uagb-heading-text\"><strong>Completed Reference Projects<\/strong><\/h3><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-512550bb\"><h4 class=\"uagb-heading-text\"><strong>AutoQML\u2014Developer Suite for Automated Machine Learning with Quantum Computers<\/strong><\/h4><\/div>\n\n\n\n<p>As part of the collaborative project AutoQML, flaQship and seven partners from research and industry have developed the application software of the same name. The open-source software AutoQML combines quantum computing and machine learning. It enables developers to use quantum machine learning algorithms without requiring in-depth expertise.<\/p>\n\n\n\n<p>Publications: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">D. Basilewitsch,&nbsp;J. F. Bravo,&nbsp;C. Tutschku, F. Struckmeier (2025). &#8222;Quantum neural networks in practice: a comparative study with classical models from standard data sets to industrial images&#8220;. In&nbsp;Quantum Mach. Intell.&nbsp;7, 110. <br>url: <a href=\"https:\/\/doi.org\/10.1007\/s42484-025-00336-7\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1007\/s42484-025-00336-7&nbsp;<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">D. Pranji\u0107, B. C. Mummaneni, C. Tutschku (2025). \u201cQuantum Annealing based Feature Selection\u201d. In: Neurocomputing, <br>url: <a href=\"https:\/\/doi.org\/10.1016\/j.neucom.2025.131673\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1016\/j.neucom.2025.131673<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">D. A. Kreplin, M. Willmann, J. Schnabel, F. Rapp, M. Hagel\u00fcken, M. Roth (2025). \u201csQUlearn: A Python Library for Quantum Machine Learning\u201d. In: IEEE Software 01, pp. 1\u20136.<br>url:&nbsp;<a href=\"https:\/\/doi.ieeecomputersociety.org\/10.1109\/MS.2025.3527736\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.ieeecomputersociety.org\/10.1109\/MS.2025.3527736<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">M. Roth, D. A. Kreplin, D. Basilewitsch, J. F. Bravo, D. Klau, M. Marinov, D. Pranji\u0107, P. Schichtel, H. Stuehler, M. Willmann, M. Zoeller (2025). &#8222;AutoQML: A Framework for Automated Machine Learning,&#8220; in 2025 IEEE International Conference on Quantum Software (QSW), Helsinki, Finland, 2025, pp. 81-91, <br>url: <a href=\"https:\/\/doi.ieeecomputersociety.org\/10.1109\/QSW67625.2025.00019\">https:\/\/doi.ieeecomputersociety.org\/10.1109\/QSW67625.2025.00019<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">H. St\u00fchler and D. Pranjic (2025) &#8222;Quanten-maschinelle Lernmethoden in der Preisprognose von gebrauchten Baumaschinen&#8220;. In&nbsp;<em>Z<\/em>eitschrift f\u00fcr wirtschaftlichen Fabrikbetrieb, vol. 120, no. 5, pp. 352-357. <br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.1515\/zwf-2024-0163\">https:\/\/doi.org\/10.1515\/zwf-2024-0163<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">D. Pranji\u0107, B. C. Mummaneni, C. Tutschku (2024). \u201cQuantum Annealing based Feature Selection in Machine Learning\u201d. <br>url: <a href=\"https:\/\/doi.org\/10.48550\/arXiv.2411.19609\" target=\"_blank\" rel=\"noreferrer noopener\"> https:\/\/doi.org\/10.48550\/arXiv.2411.19609<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">D. Basilewitsch, J. F. Bravo, C. Tutschku, F. Struckmeier (2024). \u201cQuantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2411.19276\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2411.19276<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">F. Rapp and M. Roth (2024). \u201cQuantum Gaussian process regression for Bayesian optimization\u201d. In: Quantum Machine Intelligence 6.5 (1).<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/s42484-023-00138-9\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1007\/s42484-023-00138-9<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">H. St\u00fchler, D. Klau, M.-A. Z\u00f6ller, A. Beiderwellen-Bedrikow, C. Tutschku (2024). \u201cEnd-to-End Implementation of Automated Price Forecasting Applications\u201d. In: SN Computer Science 5(402).<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.1007\/s42979-024-02735-2\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1007\/s42979-024-02735-2<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">H. St\u00fchler, D. Pranji\u0107, Christian Tutschku (2024). \u201cEvaluating Quantum Support Vector Regression Methods for Price Forecasting Applications\u201d. In&nbsp;Proceedings of the 16th International Conference on Agents and Artificial Intelligence \u2013 Volume 3: ICAART.<br>url:&nbsp;<a href=\"https:\/\/www.scitepress.org\/Link.aspx?doi=10.5220\/0012351400003636\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5220\/0012351400003636<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">J. Berberich, D. Fink, D. Pranji\u0107, C. Tutschku, C. Holm (2023). \u201cTraining robust and generalizable quantum models\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2311.11871\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2311.11871<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">D. Klau, H. Krause, D. A. Kreplin, M. Roth, C. Tutschku, M. Z\u00f6ller (2023). \u201cAutoQML \u2013 A Framework for Automated Quantum Machine Learning\u201d.<br>url:&nbsp;<a href=\"https:\/\/www.digital.iao.fraunhofer.de\/content\/dam\/iao\/ikt\/de\/documents\/AutoQML_Framework.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.digital.iao.fraunhofer.de\/content\/dam\/iao\/ikt\/de\/documents\/AutoQML_Framework.pdf<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">D. Klau, M. Z\u00f6ller, C. Tutschku (2023). \u201cBringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2310.04238\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2310.04238<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">H. St\u00fchler, M.-A. Z\u00f6ller, D. Klau, A. Beiderwellen-Bedrikow, C. Tutschku (2023). \u201cBenchmarking Automated Machine Learning Methods for Price Forecasting Applications\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.5220\/0012051400003541\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5220\/0012051400003541<\/a>.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-9f081256\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-166269be wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.autoqml.ai\/en\/\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-b16e5452\"><h4 class=\"uagb-heading-text\"><strong>Innovation Concept \"QC Next\": Quantum Computing Software Stack<\/strong><\/h4><\/div>\n\n\n\n<p>In this preliminary project, a comprehensive innovation concept was developed, outlining how to create a unified, widely adopted framework for the quantum computing software stack. Seamless integration of the different layers of the stack\u2014from hardware to application\u2014is made possible primarily through interface solutions and standardization, taking into account both technological requirements and user-driven use cases. The concept supports the transition of quantum technologies from the lab to real-world applications (\u201cLab to Fab\u201d).<\/p>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-ceac68be\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-ae94d64f wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.digital.iao.fraunhofer.de\/en\/competences\/quantum-computing\/innovation-concept-quantum-computing-software-stack-staqc.html\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-3074369d\"><h4 class=\"uagb-heading-text\"><strong>SEQUOIA End-to-End - Transparent Quantum Software Engineering and Algorithm Design for Application-Centered End-to-End Solutions<\/strong><\/h4><\/div>\n\n\n\n<p>The collaborative research project SEQUOIA End-to-End aimed to harness the potential of quantum computing for industrial use. It focused on identifying and addressing current bottlenecks throughout the quantum software development process, transforming them into high-performance, automated, and controllable end-to-end solutions for real-world industrial applications. These solutions build on the methods and tools for industrial quantum computing developed in the predecessor project SEQUOIA, based on eight practical use cases.<\/p>\n\n\n\n<p>Publications: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">M. Albus, M. Roth, J. Schnabel, M. Willmann (2025). &#8222;Application of quantum annealing for scalable robotic assembly line optimization: a case study&#8220;. In: Procedia CIRP (134), pp. 25\u201330.<br>url: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2212827125004986\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2212827125004986<\/a><\/li>\n\n\n\n<li class=\"has-small-font-size\">F. Rapp, D. A. Kreplin, M. F. Huber, M. Roth (2025). \u201cReinforcement learning-based architecture search for quantum machine learning\u201d.&nbsp;In: Mach. Learn.: Sci. Technol.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.1088\/2632-2153\/adaf75\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1088\/2632-2153\/adaf75<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">P.-A. Matt and M. Roth (2024). A heuristic for solving the irregular strip packing problem with quantum optimization.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2402.17542\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2402.17542<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">N. Schillo (2024). \u201cQuantum Algorithms and Quantum Machine Learning for Differential Equations\u201d.<br>url:&nbsp;<a href=\"http:\/\/dx.doi.org\/10.18419\/opus-13866\" target=\"_blank\" rel=\"noreferrer noopener\">http:\/\/dx.doi.org\/10.18419\/opus-13866<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">N. Schillo and A. Sturm (2024). \u201cQuantum Circuit Learning on NISQ Hardware\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2405.02069\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2405.02069<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">A. Sturm, B. C. Mummaneni, L. Rullk\u00f6tter (2024). \u201cUnlocking Quantum Optimization: A Use Case Study on NISQ Systems\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2404.07171\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2404.07171<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">G. Ko\u00dfmann, L. Binkowski, C. Tutschku, R. Schwonnek (2023). \u201cOpen-Shop Scheduling with Hard Constraints\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2211.05822\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2211.05822<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">A. Sturm (2023). \u201cTheory and Implementation of the Quantum Approximate Optimization Algorithm: A Comprehensible Introduction and Case Study Using Qiskit and IBM Quantum Computers\u201d.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2301.09535\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2301.09535<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">C. Tutschku, A. Sturm, F. Kn\u00e4ble, B. C. Mummaneni, D. Pranjic, C. Stephan, D. B. Mayer, G. Ko\u00dfmann, M. Roth, P.-A. Matt, A. Grigorjan, T. Wellens, K. K\u00f6nig, M. Beisel, F. Truger, F. Shagieva, O. Denninger, S. Garhofer (2023). \u201cQuantencomputing in der industriellen Applikation. Vom Algorithmen-, Markt- und Hardware\u00fcberblick hin zu anwendungszentriertem Quantensoftware-Engineering\u201c.<br>url:&nbsp;<a href=\"https:\/\/doi.org\/10.24406\/publica-805\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.24406\/publica-805<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">SEQUOIA: P.-A. Matt, R. Ziegler, D. Barjovic, M. Roth, M. F. Huber (2022), \u201cA Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules\u201d. url: &nbsp;<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2209.07575\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.48550\/arXiv.2209.07575<\/a>.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-3758e168\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-d4d50bca wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/www.sequoia-iao.de\/\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-8d9638df\"><h4 class=\"uagb-heading-text\"><strong>AQUAS - Application of Quantum Simulations in Hydrogen Research<\/strong><\/h4><\/div>\n\n\n\n<p>The AQUAS project aims to elevate hydrogen research and production through the use of quantum simulation. By enabling precise simulations of electrolyzer materials, it seeks to significantly improve process efficiency. This will be achieved through the validation and implementation of innovative software tools utilizing hybrid classical-quantum algorithms. The project focuses on preparing algorithms that are ready to run on current and future error-aware quantum hardware.<\/p>\n\n\n\n<p>Publications: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">M. Hagel\u00fcken, M. F. Huber, and M. Roth (2025). &#8222;Data Efficient Prediction of excited-state properties using Quantum Neural Networks&#8220;. In: New Journal of Physics 27(054508)<br>url: <a href=\"https:\/\/doi.org\/10.1088\/1367-2630\/add203\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1088\/1367-2630\/add203<\/a>.<\/li>\n\n\n\n<li class=\"has-small-font-size\">J. Schnabel and M. Roth (2025). &#8222;Quantum Kernel Methods Under Scrutiny: A Benchmarking Study&#8220;. In: Quantum Machine Intelligence 7(58).<br>url: <a href=\"https:\/\/doi.org\/10.1007\/s42484-025-00273-5\">https:\/\/doi.org\/10.1007\/s42484-025-00273-5<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-uagb-buttons uagb-buttons__outer-wrap uagb-btn__default-btn uagb-btn-tablet__default-btn uagb-btn-mobile__default-btn uagb-block-4a3b4d87\"><div class=\"uagb-buttons__wrap uagb-buttons-layout-wrap\">\n<div class=\"wp-block-uagb-buttons-child uagb-buttons__outer-wrap uagb-block-d03ed756 wp-block-button\"><div class=\"uagb-button__wrapper\"><a class=\"uagb-buttons-repeater wp-block-button__link\" aria-label=\"\" href=\"https:\/\/quantumsimulations.de\/aquas\" rel=\"follow noopener\" target=\"_blank\" role=\"button\"><div class=\"uagb-button__link\">learn more<\/div><\/a><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\"><\/div>\n<\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Initiativen &amp; Projekte flaQship arbeitet in verschiedenen Initiativen und Forschungs- sowie Industrieprojekten. Im Fokus stehen dabei die Standorte Stuttgart und [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-537","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false,"portfolio_item-thumbnail":false,"portfolio_item-thumbnail@2x":false,"portfolio_item-masonry":false,"portfolio_item-masonry@2x":false,"portfolio_item-thumbnail_cinema":false,"portfolio_item-thumbnail_portrait":false,"portfolio_item-thumbnail_portrait@2x":false,"portfolio_item-thumbnail_square":false},"uagb_author_info":{"display_name":"Yeama Bangali","author_link":"https:\/\/flaqship.eu\/en\/author\/yeama-bangaliiao-fraunhofer-de\/"},"uagb_comment_info":0,"uagb_excerpt":"Initiativen &amp; Projekte flaQship arbeitet in verschiedenen Initiativen und Forschungs- sowie Industrieprojekten. Im Fokus stehen dabei die Standorte Stuttgart und [&hellip;]","featured_media_urls":[],"_links":{"self":[{"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/pages\/537","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/comments?post=537"}],"version-history":[{"count":93,"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/pages\/537\/revisions"}],"predecessor-version":[{"id":2147,"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/pages\/537\/revisions\/2147"}],"wp:attachment":[{"href":"https:\/\/flaqship.eu\/en\/wp-json\/wp\/v2\/media?parent=537"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}