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Machine learning for quantum technology development
Accelerate development of quantum devices using digital twins; Simulate quantum systems for research and testing; Optimize quantum control protocols for superconducting qubits; Collaborate with experimentalists for advanced research; Enhance research capabilities with machine learning algorithms.
Collaborates with notable partners like Forschungszentrum Jülich; Received the Quantum Effects award for software; Funded by the European Union for research initiatives.