24 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at Lawrence Berkeley National Laboratory
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will implement several novel capabilities geared toward efficiency and high fidelity. Ultimately, they will be used for cutting-edge demonstrations of quantum computing applications. You will: Design and
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to the Quantum Defect Genome effort to discover and validate novel emitters for quantum information science. What You Will Do: Perform advanced optical measurements, including cryogenic and magneto-optical
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at improving superconducting qubit performance for the Quantum Systems Accelerator (QSA) at Lawrence Berkeley National Laboratory. This term appointment, expected to last up to five years contingent on funding
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role, you will serve as a Data Performance Engineer in NERSC's Application Performance Group, architecting HPC and AI data services that advance fundamental science. You'll optimize storage systems
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specializations for high performance computing neuromorphic and edge computing applications. In the absence of Moore's Law Scaling, the DOE must investigate alternative paths to continuing computing performance
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applications including high-throughput microscopy, materials growth for superconducting qubits and quantum materials. Initial projects will include hardware and software development for an AI-driven closed-loop
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funding proposals. Supervise or mentor students, postdocs, and colleagues as appropriate. Perform all responsibilities with a high level of independence, professional judgment, and initiative. We
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studies on quantum materials and complex oxides, with an emphasis on microelectronics applications. In addition to experimental work, the role includes applying machine-learning and AI-based approaches
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the fundamental mechanisms of mineral interfacial chemistry, element and isotope partitioning, crystal growth, dissolution, and phase transformation. The project team uses state-of-the-art computational and
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Science Acceleration Program (NESAP ). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will deliver over 10x the performance