Probabilistic techniques and Quantum Information Theory

Collection Probabilistic techniques and Quantum Information Theory

Organizer(s)
Date(s) 23/10/2017 - 27/10/2017
00:00:00 / 00:00:00
24 26

A convex set C is stable if the midpoint map (x,y) - (x+y)/2 is open. For compact C the Vesterstrøm–O’Brien theorem asserts that C is stable if and only if the barycentric map from the set of all Borel probability measures to C is open. Equivalently, the convex hull of any continuous function on C is continuous. We briefly discuss aspects of an extension of this theorem to certain non-compact sets [1]. An example is the set of quantum states (density operators on a separable Hilbert space) where continuity properties of entropic characteristics have been obtained from the stability. In the main part of the talk we present consequences of the stability for a finite-dimensional quantum system. 1) One result is a sufficient condition for the discontinuity of a maximum-entropy inference map under linear constraints (MaxEnt map) in term of the geometry of the linear image of the set of quantum states [2]. A corollary is that the irreducible three-party correlation of three qubits is discontinuous at the GHZ-state. 2) A second result is a continuity characterization of a MaxEnt map defined by a two-dimensional family of linear constraints [3]. A corollary is that the non-analyticity of the ground state energy of a one-parameter Hamiltonian is witnessed by a discontinuity of the MaxEnt map constrained on expectation values of the two energy terms.

Information about the video

  • Date of recording 26/10/2017
  • Date of publication 06/11/2017
  • Institution IHP
  • Language English
  • Format MP4

Bibliography

  • [1] Shirokov, M. E. , 2012. Stability of convex sets and applications. Izvestiya: Mathematics 76, 840-856.
  • [2] Rodman, L. , Spitkovsky, I. M. , Szkoła, A. , Weis, S. , 2016. Continuity of the maximum-entropy inference: Convex geometry and numerical ranges approach. Journal of Mathematical Physics 57, 015204.
  • [3] Weis, S. , 2016. Maximum-entropy inference and inverse continuity of the numerical range. Reports on Mathematical Physics 77, 251–263.

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