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Quantum Information Science and Engineering Theory Postdoctoral Associate Yale University: School of Engineering and Applied Science: Applied Physics: Yale Quantum Institute Location New Haven, CT
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stochastic processes, Markov models, dynamical systems, quantum walks, or related mathematical approaches. Experience with computational model fitting, Bayesian inference, simulation, or formal model
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of many-body physics problems in digital quantum computers. Hybrid quantum-classical algorithms for quantum simulation and testing on real hardware. Quantum-computing enhanced sensing. Mandatory
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the theoretical foundations for future applications at the intersection of spintronics, magnonics and quantum information science. Successful candidates will apply and further develop theoretical methods
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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science. The research at the QNM-I covers a broad range of foundational and applied investigations on topics including quantum computation, control, measurement, communication, and simulation. The QNM-I is an active
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approaches for the evaluation and validation of quantum simulations of quantum materials, including realistic treatment of uncertatinty and systematic error across experimental, classical computing, and
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. Position 1: Attosecond electron dynamics This position is part of the DOE-funded Early Career project "Rigorous quantum simulation tools for correlated attosecond electron dynamics in molecules." It will
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architectural simulators and performance models for quantum, HPC, heterogeneous, or other emerging computing systems. Knowledge of Quantum-HPC architectures and hybrid quantum-classical workflows, including
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Scientific Computing: Design and analyze quantum algorithms for optimization, combinatorial search, differential equations, scientific simulation, and other computational challenges arising in engineering