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Eliška Greplová is a physicist leading the Quantum Matter AI (QMAI) group at the Kavli Institute of Nanoscience, Delft University of Technology. She focuses on leveraging advancements in quantum information and engineering, with a research emphasis on quantum computing, topology design, and artificial intelligence applications in quantum systems. Under her guidance, the QMAI group has contributed significantly to various groundbreaking projects including the development of machine learning techniques to enhance quantum computing capabilities. Eliška's work is well recognized in the field, marked by numerous publications and collaborations with leading researchers worldwide. She actively engages in academic teaching and mentoring, exemplifying a commitment to fostering the next generation of physicists in quantum sciences. The QMAI group is also known for its interdisciplinary approach, bridging multiple research areas to address complex challenges in quantum technologies. Eliška's contributions have not only advanced theoretical frameworks but also facilitated practical implementations in experimental quantum mechanics, making her a prominent figure in the quantum research community.
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