2017
DOI: 10.1088/1751-8121/aa7d7d
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Metric on the space of quantum states from relative entropy. Tomographic reconstruction

Abstract: In the framework of quantum information geometry, we derive, from quantum relative Tsallis entropy, a family of quantum metrics on the space of full rank, N level quantum states, by means of a suitably defined coordinate free differential calculus. The cases N = 2, N = 3 are discussed in detail and notable limits are analyzed. The radial limit procedure has been used to recover quantum metrics for lower rank states, such as pure states.By using the tomographic picture of quantum mechanics we have obtained the … Show more

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Cited by 69 publications
(116 citation statements)
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“…A coordinate-free formulation of this procedure is given in [14,25], and a general formalism based on the Lie groupoid structure of M × M is presented in [22]. Here, on the other hand, we would like to give an alternative (but equivalent), coordinate-free formulation of the extraction procedure which is inspired by Kähler geometry and thus will lead us to define also a presymplectic form on M × M starting from a divergence function.…”
Section: Almost Complex Structures and Statistical Manifoldsmentioning
confidence: 99%
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“…A coordinate-free formulation of this procedure is given in [14,25], and a general formalism based on the Lie groupoid structure of M × M is presented in [22]. Here, on the other hand, we would like to give an alternative (but equivalent), coordinate-free formulation of the extraction procedure which is inspired by Kähler geometry and thus will lead us to define also a presymplectic form on M × M starting from a divergence function.…”
Section: Almost Complex Structures and Statistical Manifoldsmentioning
confidence: 99%
“…where we used equation (25), and we set θ j ⊗ s θ k = θ j ⊗ θ k + θ k ⊗ θ j . According to the results in section 2 of [14], F is a divergence function if we have…”
Section: Almost Complex Structures and Statistical Manifoldsmentioning
confidence: 99%
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“…There exist other probability distributions for the density matrix [23,25], which depend linearly on the probabilities p…”
Section: General Case Of Quditsmentioning
confidence: 99%