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, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. We promote basic research on quantum information science and contribute
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singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas of interest include Potential Theory, Harmonic Analysis
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of biomolecules, it is crucial to grasp their structural dynamics. We aim to develop methods for designing biomolecules, such as membrane proteins and peptides, with controllable conformational dynamics through a
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mechanics and quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. We promote basic research on quantum
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of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and