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Berkeley Lab is on the lookout for a Quantum Network Modeling and Simulation Developer to join our pioneering QUANT-NET project. If you are brimming with creativity and technical skills, this is
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campus, which is connected with an entanglement swapping substrate over optical fiber and managed by a quantum network protocol stack. On top of this entanglement swapping substrate the research team will
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Berkeley Lab’s Applied Mathematics and Computational Research Division (AMCRD) has an Advanced Quantum Testbed Project Scientist position to join its Advanced Quantum Testbed (AQT) program. AQT is
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intelligence (AI) / machine learning (ML) models for physics applications, including superconducting quantum information processors, lasers, and particle accelerators. The candidate will be implementing the ML
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closely with professors, scientists, engineers, and graduate students of the QUANT-NET research team. QUANT-NET is a five-year DOE funded project that brings together world-leading expertise in quantum
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of Science. The Perlmutter Supercomputer is NERSC’s first production GPU-based system. Many workflows running at NERSC need to be adapted or optimized to run efficiently on GPUs. At the same time
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applications. Your results will be used to inform NERSC about quantum hardware performance. The successful applicant is a motivated researcher with experience in quantum information theory and practice. You will
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. Involvement in the publication of the research and contributions at conferences is expected. You will be part of an integrated team of quantum algorithm developers, physicists, mathematicians and computer
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, ALD, and more. Contribute to studies of innovative quantum structures and devices at sub-10-nm scales to investigate emergent electronic phenomena. Contribute broad knowledge of semiconductors, EUV
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mathematical modeling, simulation and analysis, numerical algorithm design, computer system architecture, quantum information science, computational science, and high-performance software implementation. Learn