a new signature of quantum phase transitions from the
play

A new signature of quantum phase transitions from the numerical - PowerPoint PPT Presentation

A new signature of quantum phase transitions from the numerical range talk at the conference Entropy 2018: From Physics to Information Sciences and Geometry University of Barcelona, Spain May 15th, 2018 speaker Stephan Weis Centre for


  1. A new signature of quantum phase transitions from the numerical range talk at the conference Entropy 2018: From Physics to Information Sciences and Geometry University of Barcelona, Spain May 15th, 2018 speaker Stephan Weis Centre for Quantum Information and Communication Université libre de Bruxelles, Belgium joint work with Ilya M. Spitkovsky New York University Abu Dhabi, United Arab Emirates

  2. Overview 1. Ground Energy 2. Convex Geometry 3. Numerical Range 4. Results 5. Conclusion

  3. Part I Ground Energy

  4. Quantum Phase Transitions are characterized in terms of 1) long-range correlation in ground state 2) non-analytic ground energy 3) geometry of reduced density matrices Zauner-Stauber et al. New J. Phys. 18 (2016), 113033 & Chen et al. Phys. Rev. A 93 (2016), 012309 4) strong variation / discontinuity of MaxEnt maps Arrachea et al. Phys. Rev. A 45 (1992), 7104 & Chen et al. New J. Phys. 17 (2015), 083019 this talk clarifies in the finite-dimensional setting relationships between 2), 3), 4) and certain open mapping properties

  5. Differentiability of Ground Energy one-parameter Hamiltonian H ( g ) = H 0 + g ⋅ H 1 , g ∈ R angular representation A ( θ ) = cos ( θ ) H 0 + sin ( θ ) H 1 , θ ∈ ( − π 2 , π 2 ) ground energy λ ( X ) = minimal eigenvalue of X Observation λ ○ H is C k /analytic at tan ( θ ) ⇐ ⇒ λ ○ A is C k /analytic at θ focus on ground energy λ ( θ ) = λ ○ A ( θ ) advantage: reduced density matrices and MaxEnt maps are easier described in angular coordinates

  6. Part II Convex Geometry

  7. Convex Geometry K ⊂ C ≅ R 2 compact convex support function ˜ h K ∶ C → R , ˜ h K ( u ) = min z ∈ K ⟨ z , u ⟩ exposed face F ( u ) = argmin z ∈ K ⟨ z , u ⟩ ˜ h F ( u ) ( v ) = ˜ h ′ K ( u ; v ) = directional 1 t ( ˜ h K ( u + tv ) − ˜ derivative = lim h K ( u )) t ↘ 0 end-points of exposed face, u ∈ S 1 x ± ( u ) = u ˜ h K ( u ) ± u ⊥ ˜ h ′ K ( u ; ± u ⊥ ) ∈ ∂ K using h K ( θ )= ˜ h K ( e i θ ) , x ± ( e i θ ) = e i θ ( h K ( θ ) ± i h ′ K ( θ ; ± 1 )) ∈ ∂ K x ± restricted to u ∈ S 1 with x + ( u ) = x − ( u ) is the reverse Gauss map x ± ( u ) = ∇ ˜ h ( u ) which parametrizes ∂ K as an envelope

  8. Part III Numerical Range

  9. Numerical Range density matrices D n = { ρ ∈ M n ∶ ρ ⪰ 0 , tr ( ρ ) = 1 } numerical range W = {⟨ ψ ∣ H 0 + i H 1 ∣ ψ ⟩ ∶ ⟨ ψ ∣ ψ ⟩ = 1 } = { tr ρ ( H 0 + i H 1 ) ∶ ρ ∈ D n } W is the set of expected values of H 0 and H 1 (reduced density matrices) Theorem 1 (Toeplitz) h W ( θ ) = λ ○ A ( θ ) = λ ( θ ) Math. Z. 2 (1918), 187 von Neumann entropy S ( ρ ) = − tr ρ log ( ρ ) , ρ ∈ D n maximum-entropy inference map (MaxEnt map) ρ ∗ ∶ W → D n , z ↦ argmax { S ( ρ ) ∶ tr ρ ( H 0 + i H 1 ) ,ρ ∈ D n }

  10. Numerical Range — Diagonal Matrices H 0 = diag ( E 1 0 ,..., E n 0 ) and H 1 = diag ( E 1 1 ,..., E n 1 ) W = conv { E 1 0 + i E 1 1 ,..., E n 0 + i E n 1 } A ( θ ) = diag ( E 1 0 cos ( θ ) + E 1 1 sin ( θ ) ,..., E n 0 cos ( θ ) + E n 1 sin ( θ )) • W is a polytope • λ is piecewise harmonic • x + and x − are piecewise constant • flat boundary portions of W ≅ non-differentiable points of λ • ρ ∗ is continuous

  11. Numerical Range — Non-Commutative [ H 0 , H 1 ] ≠ 0 we assume dim ( W ) = 2 ⇐ analytic curves λ 1 ( θ ) ,...,λ n ( θ ) and ONB’s ∣ ψ k ( θ )⟩ n k = 1 such that n A ( θ ) = λ k ( θ )∣ ψ k ( θ )⟩⟨ ψ k ( θ )∣ ∑ k = 1 Rellich, IMM-NYU 2, New York: New York University, 1954 analytic • λ is piecewise analytic • the maximal order of differentiability of λ is even max. order 0 at non-analytic points max. order 2

  12. Numerical Range — Continuity of Inference ρ ∗ is analytic on the interior of W , W ○ ∋ z ↦ e µ 1 H 1 + µ 2 H 2 / tr ( ” ) , if z = x + ( e i θ ) then ρ ∗ ( z ) = maximally mixed state on span {∣ ψ k ( θ )⟩ ∶ λ k ( θ ) = λ ( θ ) , λ ′ k ( θ ) = λ ′ ( θ ; + 1 )} • the maps x + , x − ∶ S 1 → ∂ W cover all extreme points of W • ρ ∗ ∣ ∂ W may be discontinuous at extreme points of W because of C 2 smooth eigenvalue crossings with the ground energy λ • ρ ∗ ∣ F ( u ) is continuous on flat boundary portions F ( u ) ⊂ ∂ W of W ⇒ ρ ∗ is continuous at z • for z ∈ ∂ W : ρ ∗ ∣ ∂ W is continuous at z ⇐ • discontinuities of ρ ∗ are irremovable because ρ ∗ ( W ) ⊂ ρ ∗ ( W ○ ) , Wichmann JMP 4 (1963), 884 • discontinuities of ρ ∗ ∣ ∂ W may be removable

  13. Numerical Range — Open Mappings definitions a map α ∶ X → Y between topological spaces is open at x ∈ X if α maps neighborhoods of x to neighborhoods of α ( x ) numerical range map f ∶ {∣ ψ ⟩ ∶ ⟨ ψ ∣ ψ ⟩ = 1 } → W , ∣ ψ ⟩ ↦ ⟨ ψ ∣ H 0 + i H 1 ∣ ψ ⟩ expected value map E ∶ D n → W , ρ ↦ tr ρ ( H 0 + i H 1 ) the inverse numerical range map f − 1 is strongly (resp. weakly) continuous at z ∈ W if for all (resp. for at least one ) ∣ ψ ⟩ ∈ f − 1 ( z ) the map f is open at ∣ ψ ⟩ Noticeable: Openness of linear maps on state spaces of C ∗ -algebras are studied since the 70’s (Lima, Vesterstrøm, O’Brian), with applications to quantum information theory: Shirokov, Izvestiya: Math. 76 (2012), 840

  14. Part IV Results

  15. Smoothness of λ , geometry of W , continuity of ρ ∗ Let z = x + ( e i θ ) = x − ( e i θ ) be not a corner point: the statements in each column are equivalent λ is C 2 k but not C 2 k + 1 λ is analytic locally at θ locally at θ , k ≥ 1 λ ( θ ) = λ k ( θ ) = λ l ( θ ) ∃ k ∶ λ = λ k locally at θ / ∃ k ∶ λ = λ k locally at θ λ ′ ( θ ) = λ ′ k ( θ ) = λ ′ l ( θ ) ⇒ λ k = λ l ∂ W is a C 2 k but ∂ W is an analytic manifold locally at z not a C 2 k + 1 manifold locally at z , k ≥ 1 ρ ∗ is continuous at z ρ ∗ ∣ ∂ W has a ρ ∗ ∣ ∂ W has an removable irremovable discontinuity at z discontinuity at z Notice: S 1 → ∂ W , e i θ ↦ x ± ( θ ) = e i θ ( λ ( θ ) + i λ ′ ( θ )) is only C 2 k − 1 if λ is C 2 k !

  16. Open Mapping Conditions Let z ∈ W be arbitrary: the statements in each column are equivalent ρ ∗ is continuous at z ρ ∗ ∣ ∂ W has a ρ ∗ ∣ ∂ W has an removable irremovable discontinuity at z discontinuity at z f − 1 is strongly f − 1 is weakly but not f − 1 is not weakly continuous at z strongly continuous continuous at z at z E is open at ρ ∗ ( z ) E is not open at ρ ∗ ( z )

  17. Part V Conclusion

  18. Summary: Geometry and inference approach to the smoothness of the ground energy of a one-parameter Hamiltonian References: Weis and Knauf, Entropy distance: New quantum phenomena , JMP 53 (2012), 102206 Leake et al., Inverse continuity on the boundary of the numerical range , Linear and Multilinear Algebra 62 (2014), 1335 Rodman et al., Continuity of the maximum-entropy inference: Convex geometry and numerical ranges approach , JMP 57 (2016), 015204 Spitkovsky and Weis, A new signature of quantum phase transitions from the numerical range , arXiv:1703.00201 [math-ph]

  19. Thank you

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend