{"id":8230,"date":"2025-04-09T12:03:16","date_gmt":"2025-04-09T10:03:16","guid":{"rendered":"https:\/\/www.doitnowgroup.com\/?p=8230"},"modified":"2025-04-29T17:07:21","modified_gmt":"2025-04-29T15:07:21","slug":"quantum-neural-networks-workshop-munich","status":"publish","type":"post","link":"https:\/\/www.doitnowgroup.com\/fr\/news\/quantum-neural-networks-workshop-munich\/","title":{"rendered":"Quantum Neural Networks Workshop"},"content":{"rendered":"\t\t
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28th<\/sup> of April<\/h2>

Atlas Building, 6\u00ba\u00a0floor, Rosenheimer Stra\u00dfe 143 c, Munich<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Do IT Now is gathering the Quantum & AI community for an exclusive Quantum Neural Networks (QNN) Workshop<\/strong>, led by the brilliant Lourens van Niekerk<\/a> – Quantum Specialist & Educator.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Workshop Objectives:<\/strong><\/p>

  • Understand the fundamental principles of quantum neural networks (QNNs).<\/li>
  • Implement and train simple QNNs using Qiskit.<\/li>
  • Explore current research trends and enterprise challenges in QNNs.<\/li>
  • Evaluate quantum readiness and return on investment (ROI) for organizations.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    High-Intensity Learning:<\/strong><\/p>

    • Master QNN Fundamentals & Variational Circuits: Go beyond the basics.<\/li>
    • LIVE Coding in Qiskit: Compile, run, debug \u2013 make qubits work for you!<\/li>
    • Forge Quantum-HPC Hybrid Strategies: Learn practical integration tactics.<\/li>
    • Solve Problems: Apply QNNs to Risk Analysis, Protein Folding & Graph Opti.<\/li>
    • Entangle with Europe’s Quantum Elite: Network, debate, and collaborate.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Who could be interested in beeing there?<\/strong><\/p>

      • Quantum Researchers<\/li>
      • AI & Data Scientists<\/li>
      • Quantum Engineers &<\/li>
      • Developers<\/li>
      • PhD Students & Postdocs (Quantum\/ML)<\/li>
      • HPC & AI Practitioners ready for Quantum integration<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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        Additional Information:<\/strong><\/p>

        • Wi-Fi:<\/strong> Available throughout the venue<\/li>
        • Materials:<\/strong> Digital copies of slides and Jupyter Notebook examples provided<\/li>
        • Certification:<\/strong> Participants will receive a certificate of completion<\/li>
        • Preparation:<\/strong> Install Qiskit in advance and review quantum circuits & neural network fundamentals<\/li>
        • Cost:<\/strong> FREE<\/li><\/ul>

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          Agenda<\/strong><\/h2>

          Morning Session: Theory & Practice<\/strong><\/h3>

          09:00 – 09:30 | Registration & Welcome<\/strong><\/p>

          09:30 – 10:00 | Quantum Computing: how did we get here, what is real, and what is \u2018here\u2019?<\/strong><\/p>

          • History of quantum computing till now<\/li>
          • How does the hype compare to reality<\/li>
          • Refresh basic concepts and terminology<\/li><\/ul>

            10:00 – 10:45 | Quantum Machine Learning (QML) with Qiskit<\/strong><\/p>

            • Encoding classical data to quantum<\/li>
            • Quantum analogous algorithms e.g. quantum SVC (QSVC)<\/li>
            • Variational Quantum Classifier (VQC)<\/li>
            • How does this compare to classical ML currently<\/li><\/ul>

              10:45 – 11:15 | Neural Networks: Classical vs Quantum<\/strong><\/p>

              • How do classical neural networks (NNs) work?<\/li>
              • How do quantum neural networks (QNNs) differ?<\/li>
              • Why and when might quantum be better than classical?<\/li><\/ul>

                11:15 – 11:30 | Coffee sip<\/em> Break<\/strong><\/p>

                11:30 – 12:30 | Overview of various QNNs<\/strong><\/p>

                • Quantum Autoencoders (QAEs) and hybrid variants<\/li>
                • Quantum Convolutional Neural Networks (QCNNs)<\/li>
                • Quantum Reservoir Computing (QRC)<\/li>
                • Quantum Generative Adversarial Networks (QGANs)<\/li><\/ul>

                  12:30 – 13:00 | Hands-on Quantum Playground with Jupyter Notebooks<\/strong><\/p>

                  • Guided code examples on QML and QNNs<\/li><\/ul>

                    13:00 – 14:00 | Lunch break & networking<\/strong><\/h2>

                    Afternoon Session: Applications & Vision<\/strong><\/h3>

                    14:00 – 14:30 | Optimization techniques<\/strong><\/p>

                    • Classical optimization algorithms<\/li>
                    • Error correction<\/li>
                    • Error mitigation<\/li><\/ul>

                      14:30 – 15:00 | Classical and Quantum Hybridization<\/strong><\/p>

                      • Challenges in bringing quantum to industry<\/li>
                      • Current software and tools to bridge the challenges<\/li>
                      • Success stories of quantum in HPC<\/li><\/ul>

                        15:00 – 15:15 | Commercial expectations for QNNs<\/strong><\/p>

                        • Which industries are exploring the use of QNNs<\/li>
                        • What do the experts say?<\/li><\/ul>

                          15:15 – 15:30 | Summary and further<\/strong><\/p>

                          • Key takeaways from presentations<\/li>
                          • Follow-up topics of interest for the curious e.g. AI in QC<\/li><\/ul>

                            15:30 – 15:45 | Coffee Break<\/strong><\/p>

                            15:45 – 16:45 | Industry-Specific QNN Applications<\/strong><\/p>

                            • Monitoring:<\/strong> Anomaly detection via Quantum Autoencoders<\/li>
                            • Pharmaceuticals:<\/strong> Polymer prediction via Quantum Reservoir Computing<\/li>
                            • Supply Chain:<\/strong> Management via Quantum Convolutional Neural Networks<\/li><\/ul>

                              16:45 – 17:15 | Panel Discussion: Overcoming Enterprise QNN Challenges<\/strong><\/p>

                              • Addressing costs, complexity, and adoption barriers<\/li>
                              • Open Q&A session with participants<\/li><\/ul>

                                17:15 – 17:30 | Panel Q&A<\/strong><\/p>

                                17:30 | Closing Remarks and End of Workshop<\/strong><\/p>

                                17:30 – 18:30 | Open Networking Reception<\/strong><\/p>

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                                \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Quantum_Neural_Networks_Workshop_GroupPicture\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                                28th of April Atlas Building, 6\u00ba\u00a0floor, Rosenheimer Stra\u00dfe 143 c, Munich Do IT Now is gathering the Quantum & AI community for an exclusive Quantum Neural Networks (QNN) Workshop, led by the brilliant Lourens van Niekerk – Quantum Specialist & Educator. Workshop Objectives: Understand the fundamental principles of quantum neural networks (QNNs). Implement and train […]<\/p>\n","protected":false},"author":6,"featured_media":8332,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-8230","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/posts\/8230","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/comments?post=8230"}],"version-history":[{"count":25,"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/posts\/8230\/revisions"}],"predecessor-version":[{"id":8968,"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/posts\/8230\/revisions\/8968"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/media\/8332"}],"wp:attachment":[{"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/media?parent=8230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/categories?post=8230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.doitnowgroup.com\/fr\/wp-json\/wp\/v2\/tags?post=8230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}