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Viktor Eisler

Researcher at Graz University of Technology

Publications -  75
Citations -  3650

Viktor Eisler is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Quantum entanglement & Squashed entanglement. The author has an hindex of 30, co-authored 67 publications receiving 2907 citations. Previous affiliations of Viktor Eisler include University of Vienna & Free University of Berlin.

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Reduced density matrices and entanglement entropy in free lattice models

TL;DR: In this paper, the properties of reduced density matrices for free fermionic or bosonic many-particle systems in their ground state are reviewed for various one-dimensional situations, including also the evolution after global or local quenches.
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Reduced density matrices and entanglement entropy in free lattice models

TL;DR: In this article, the properties of reduced density matrices for free fermionic or bosonic many-particle systems in their ground state are reviewed for various one-dimensional situations, including also the evolution after global or local quenches.
Journal ArticleDOI

Evolution of entanglement after a local quench

TL;DR: In this paper, the authors studied free electrons on an infinite half-filled chain, starting in the ground state with a bond defect, and found a logarithmic increase of the entanglement entropy after the defect is removed, followed by a slow relaxation towards the value of the homogeneous chain.
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Full Counting Statistics in a Propagating Quantum Front and Random Matrix Spectra

TL;DR: One-dimensional free fermions are studied with emphasis on propagating fronts emerging from a step initial condition and it is found that the full counting statistics coincide with the eigenvalue statistics of the edge spectrum of matrices from the Gaussian unitary ensemble.
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On the partial transpose of fermionic Gaussian states

TL;DR: In this article, the action of the partial transposition on the density matrix of fermionic systems is studied, and it is shown that, with a suitable choice of basis, these states are transformed into a linear combination of two Gaussian operators that are uniquely defined in terms of the covariance matrix of the original state.