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   Articles with "density matrices" as a keyword



Bundled matrix product states represent low-energy excitations faithfully

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recommendations! Published in 2024 at "Journal of Physics A: Mathematical and Theoretical"

DOI: 10.1088/1751-8121/ad770f

Abstract: We consider a set of density matrices. All of which are written in the same orbital basis, but the orbital basis size is less than the total Hilbert space size. We ask how each density… read more here.

Keywords: product states; energy; matrix product; density matrices ... See more keywords

Generalized network density matrices for analysis of multiscale functional diversity.

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recommendations! Published in 2022 at "Physical review. E"

DOI: 10.1103/physreve.107.044304

Abstract: The network density matrix formalism allows for describing the dynamics of information on top of complex structures and it has been successfully used to analyze, e.g., a system's robustness, perturbations, coarse-graining multilayer networks, characterization of… read more here.

Keywords: network density; network; density matrices; functional diversity ... See more keywords

Randomized Linear Algebra Approaches to Estimate the von Neumann Entropy of Density Matrices

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recommendations! Published in 2020 at "IEEE Transactions on Information Theory"

DOI: 10.1109/tit.2020.2971991

Abstract: The von Neumann entropy, named after John von Neumann, is an extension of the classical concept of entropy to the field of quantum mechanics. From a numerical perspective, von Neumann entropy can be computed simply… read more here.

Keywords: neumann entropy; linear algebra; von neumann; density matrices ... See more keywords

Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case

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recommendations! Published in 2025 at "PLOS One"

DOI: 10.1371/journal.pone.0335826

Abstract: Classification methods based on deep learning require selecting between fully-supervised or weakly-supervised approaches, each presenting limitations in uncertainty quantification and interpretability. A framework unifying both supervision modes while maintaining quantifiable interpretation metrics remains unexplored. We… read more here.

Keywords: kernel density; weakly supervised; pathology; histopathology ... See more keywords