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quantum complexity. A combination of numerical methods (tensor network states and exact diagonalization, and possibly stochastic sampling) and concepts such as entanglement and non-stabilizerness in
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fundamental questions concerning the structure of higher-order quantum operations — particularly quantum combs / process tensors and processes that lack a definite causal order. Overall, Purpose of the Role
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semiclassical analysis of geometric quantization. The goal is to describe the joint spectrum of certain pairs of operators acting on spaces of holomorphic sections of large tensor powers of some complex line
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Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
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on computational and theoretical condensed matter physics. Areas of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and
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of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with a particular
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with mathematical modeling and comfort with formal reasoning across algebraic, geometric, and analytic frameworks. A deep foundation in linear algebra, tensor calculus, and functional analysis; and the
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University of Oslo. Place of work is the Department of Biostatistics (OCBE), Domus Medica, Gaustad UiO campus, Oslo. Job description The position is connected to the project “Bayesian Enhanced Tensor
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and