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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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vision research. The position is for 3 years, starting ASAP, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks
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of strongly-correlated materials, quantum magnets, and might hold the key of high-temperature superconductivity. Investigating its low-temperature many-body phases is extremely challenging using classical
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