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Field
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be based in the IST and will have opportunities to collaborate across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/ ), Institute for Computational and Data Sciences
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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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computational methods in the fields of theoretical chemistry/physics, particularly for molecular quantum dynamics, electron dynamics and/or tensor network states. Applicants are not expected to have prior
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five-year mission of the ORNL Quantum Science Center (QSC) to establish a quantum-accelerated computing ecosystem for scientific applications. The successful candidate will develop, test, and evaluate
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-classical approaches that combine advances in quantum computing and AI to accelerate scientific discovery and address complex challenges in areas such as materials science, chemistry, biology, healthcare, and
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for applications in quantum information science. While focused on this core responsibility, the candidate will be encouraged to explore novel avenues of research that complement and enhance the group’s overall
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computers. You will work closely with and provide feedback to scientific and engineering teams to explore scalable and fault-tolerant distributed quantum computing, from experimental implementations
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(HPC), and world-class engineering support. Concurrently, MSD and Q-NEXT drive state-of-the-art quantum initiatives focused on fundamental and applied quantum information science, highlighted by recent
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data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply. Candidates with strong expertise in machine learning, quantum
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. The postdoc will join an interdisciplinary program that combines quantum sensing instrumentation, surface and interfacial chemistry, and the physics of the target systems, with current directions including