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Showing 1 to 5 of 5 for “"Tensor Contraction"”.

  1. GPU-accelerated Inference for Discrete Probabilistic Programs

    … elimination is optimized by reduction to tensor contraction with optimized contraction paths, while Gibbs sampling is automatically parallelized through graph coloring techniques. Empirical evaluations on standard benchmarks demonstrate orders of magnitude performance improvements over …

    mit Repository record for GPU-accelerated Inference for Discrete Probabilistic Programs (opens in a new tab)

  2. Automated Implementation of Advanced Electronic Structure Methods

    … bottleneck. As the rank of the associated tensors increases, the governing equations explode in complexity, rendering manual implementation labor-intensive, error-prone, and difficult to optimize for modern hardware. To address this challenge, this dissertation presents SeQuant, a …

    vt Repository record for Automated Implementation of Advanced Electronic Structure Methods (opens in a new tab)

  3. Towards efficient algorithms and systems for tensor decompositions and tensor networks

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms

    uiuc Repository record for Towards efficient algorithms and systems for tensor decompositions and tensor networks (opens in a new tab)

  4. Entanglement entropy in quantum many particle systems and their simulation via ansatz states

    In contrast to classical many-particle systems for which the number of degrees of freedom grows linearly with the system size, it grows exponentially for quantum many-particle systems. On the one hand, the resulting complexity of the quantum systems has a high potential for technological advances …

    aachen Repository record for Entanglement entropy in quantum many particle systems and their simulation via ansatz states (opens in a new tab)