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Computing to join the team. In this exciting role, you will research in quantum computing, with a focus on the development of theoretical approaches and novel quantum algorithms that lead to scientific
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wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC
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questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Specialized research in conception and execution of quantum algorithms on superconducting
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scientists and software developers to adapt tools and algorithms for use at the Molecular Foundry. Help translate user's scientific and technical requirements into automated or robotic tools and associated
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classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve scalability. Publish scientific papers and present
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tenfold increase in computing power to NERSC users along with new capabilities. The new Doudna environment will support larger and higher resolution data sets coming from new sensors, detectors, sequencers
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communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs. Experience
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scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last five years
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management