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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
equation, to infer a dynamics for the noise term, and more specifically, the correlation tensor involved in the definition of the small-scale component. The objective will be to extend this methodology
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field theory, semi-classical methods in quantum many body dynamics, tensor networks and GPU-accelerated quantum evolution. Our work is concept- rather than method-centric. Candidates with backgrounds
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. Outstanding applicants will be recommended for the prestigious “Shuimu Tsinghua Scholar” Fellowship (https://postdoctor.tsinghua.edu.cn/info/zxtz/2174 ) or equivalent talent programs. We offer internationally
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simulation and computation, phase transitions and nonequilibrium dynamics in strongly-correlated and open quantum many-body systems, as well as advanced numerical simulation techniques with a focus on tensor
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languages (for example, for hardware design or parallel programming) Array or tensor programming Applications to physical sciences, dimensional analysis, or climate impact modeling It is highly meritorious
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proving (such as Agda, Lean, or Rocq) Domain-specific languages (for example, for hardware design or parallel programming) Array or tensor programming Applications to physical sciences, dimensional analysis
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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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. *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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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