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ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...
PDC Center for High Performance Computing, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden Division of Theoretical Chemistry and Biology, School of Engineering Sciences in Chemistry, ...
密度行列埋め込み理論(DMET)とサンプルベースの量子対角化手法(SQD)を組合せ、分子物性計算を実施。41, 89量子ビットの全分子計算をそれぞれ27, 32量子ビットの活性領域シミュレーションに ...
Now we define a new class called `Diag`, this class receive a container that can be the parameter of `std::data`, e.g `std::vector`, `std::initializer_list`. This class is for specify a diagonal ...
This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of ...
Abstract: A challenging issue in the field of marine remote sensing is the application of polarimetric synthetic aperture radar (PolSAR) to small ship detection in complicated environments. Several ...