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on the DOE-funded Early Career project "Rigorous quantum simulation tools for correlated attosecond electron dynamics in molecules." The position will involve developing new methods related to tensor
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Knowledge, Skills, and Abilities: *Numerical expertise in tensor networks and matrix product states OR analytical field-theoretic expertise. *Familiarity with topological phases of matter and their
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optimization and detection technologies; magnetic resonance diffusion tensor imaging (DTI) related to repetitive head impacts; post-concussive blood-based biomarkers; and the impact of cardiac rehabilitation
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. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches. Application Instructions: Candidates are required to submit a Resume or CV and a Research
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tensor data for latency sensitive and real-time applications. Low-SWaP, high-performance embedded computing (HPEC) High-speed, low-latency data interfaces and networking Real-time computing
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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functional inversion. Additional applications are possible on quasi-exact nonadiabatic nuclear dynamics simulations using tensor network states (ML-MCTDH) of vibronic coupling models. Of particular interest
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correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de)confinement in string-net models - Quantum field theory