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of your research will lie on the study of topological order using tensor network methods. You continuously stay informed about the state of the art in your field. You present your research plan
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sensing, quantum cryptography and quantum computation, with experiment limitations implemented as mathematical constraints. The applicant should have a a mastery of linear algebra, multivariate calculus
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Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
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quantum systems with exact integrability, Apply these ideas in contexts ranging from holography to resurgent quantum field theory. The project lies at the intersection of geometry, algebra, and quantum