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Jon Magne Leinaas

Researcher at University of Oslo

Publications -  65
Citations -  2634

Jon Magne Leinaas is an academic researcher from University of Oslo. The author has contributed to research in topics: Quantum Hall effect & Identical particles. The author has an hindex of 21, co-authored 65 publications receiving 2368 citations. Previous affiliations of Jon Magne Leinaas include Centre for Advanced Study at the Norwegian Academy of Science and Letters & University of California, Berkeley.

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On the theory of identical particles

TL;DR: In this paper, the classical configuration space of a system of identical particles is examined and the effect of particle spin in the present formalism is discussed. But this is only the case in which the particles move in three- or higher-dimensional space.
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Electrons as accelerated thermometers

TL;DR: In this article, the possibility of using accelerated electrons to exhibit the quantum field theoretic relation between acceleration and temperature is considered, and the effect is examined for linearly accelerated electrons, but the result is that the relevant orders of magnitude are too small for real experiments in linear accelerators.
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The Unruh Effect and Quantum Fluctuations of Electrons in Storage Rings

TL;DR: In this paper, the effect of electron depolarization in ideal storage rings is analyzed in an appropriate comoving, and so accelerating and rotating, coordinate system, and the analysis confirms the standard result for the polarization, except in the neighbourhood of a narrow resonance.
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Geometrical aspects of entanglement

TL;DR: This work focuses first on the simplest case of two two-level systems and shows that a “relativistic” formulation leads to a complete analysis of the question of separability.
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A tensor product matrix approximation problem in quantum physics

TL;DR: This work considers a matrix approximation problem arising in the study of entanglement in quantum physics, and discusses this approximation problem for a composite system with two subsystems and shows that it can be written as a convex optimization problem with special structure.