{"id":35438,"date":"2025-12-17T17:43:29","date_gmt":"2025-12-17T16:43:29","guid":{"rendered":"https:\/\/risc.web-email.at\/schwerpunkt\/quantum-computing-and-machine-learning\/"},"modified":"2026-02-11T10:24:10","modified_gmt":"2026-02-11T09:24:10","slug":"quantum-computing-and-machine-learning","status":"publish","type":"key-aspect","link":"https:\/\/risc.web-email.at\/en\/focus-areas\/quantum-computing-and-machine-learning\/","title":{"rendered":"Quantum computing and machine learning"},"content":{"rendered":"\n
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A new computing paradigm to solve the problems of tomorrow.<\/h2>\n
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The future of computing is quantum<\/strong><\/h3>\n\n\n\n

Quantum computing is one of the most disruptive key technologies<\/strong> of our time. Based on quantum physical phenomena, it promises more efficient computing processes, new possibilities in data processing<\/g> and even approaches to previously unsolvable problems<\/g>. Whether in industry, materials research or medicine, quantum computing opens up new perspectives<\/strong> wherever huge amounts of data need to be processed and high-dimensional problems need to be solved – in short, wherever conventional computers reach their limits. <\/p>\n\n\n\n

RISC Software GmbH<\/strong> sees itself as a pioneer at the interface between research and application<\/strong>. As a non-university research institution, we identify technological trends at an early stage and actively drive their implementation. Our many years of expertise<\/g> in the fields of software development, mathematical modeling and, in particular, artificial intelligence make us a strong player in the future field of quantum computing and its practical application. Our goal is to open up fields of application today and make<\/strong> this technology usable<\/strong> so that we can implement<\/strong> concrete solutions<\/strong> tomorrow. <\/p>\n<\/div>\n<\/div>

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Quantum machine learning – quantum-based intelligence<\/strong><\/h3>\n\n\n\n

There is great potential for the application of quantum computing, particularly in the field of artificial intelligence: Quantum Machine Learning (QML)<\/strong> uses quantum mechanical effects to extend classic learning algorithms or to enable completely new learning paradigms. While classic AI models already provide valuable insights from complex data sets, QML is expected to offer the following advantages, among others: <\/p>\n\n\n\n

1. more efficient pattern recognition<\/p>\n\n\n\n

2. better generalization skills<\/p>\n\n\n\n

3. robust learning even with limited amounts of data<\/p>\n\n\n\n

Especially in medicine<\/strong>, where diagnoses are increasingly supported by data and data sources are becoming more diverse, more complex and more extensive, QML offers enormous potential. RISC Software GmbH<\/strong> is therefore specifically researching this interface – with the aim of making medical analysis systems smarter, faster and more robust. <\/p>\n<\/div>\n<\/div>

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Success stories from research<\/strong><\/h3>\n\n\n\n

In several research projects, RISC Software GmbH<\/strong> is specifically investigating the use of quantum machine learning in a medical context – from the analysis of ECG signals to the interpretation of X-ray images. Our approaches are being evaluated in realistic scenarios and have already been presented on the international stage. <\/p>\n\n\n\n

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Shaping the future together<\/strong><\/h3>\n\n\n\n

Do you have application ideas or research interest in quantum computing and quantum machine learning? Contact RISC Software GmbH<\/g> – and let’s explore together what is possible with this future technology. We look forward to the exchange. <\/p>\n<\/div>\n<\/div>

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Reference projects<\/strong><\/h2>\n\n\n
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