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, lead large-scale benchmarking across the full stack, and develop scalable classical simulations (e.g., tensor networks)—including performance bounds beyond brute-force classical simulability. This role
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oral communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs
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practices such as unit testing and CI/CD Experience with MPI, Kokkos, OpenMP, CUDA/HIP Experience implementing or optimizing scientific libraries such as Linear Algebra Libraries, Solvers, FFTs/cuFFT
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and teaching, and are funded by the department’s NSF supported “Southern California Geometry and Topology Center.” Outstanding candidates in all areas of (algebraic, complex, differential) geometry and