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Classical capacity of channels between von Neumann algebras Pieter - - PowerPoint PPT Presentation

Classical capacity of channels between von Neumann algebras Pieter Naaijkens Universidad Complutense de Madrid 9 September 2019 This work was funded by the ERC (grant agreement No 648913) Infinite quantum systems Quantum systems with


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This work was funded by the ERC (grant agreement No 648913)

Classical capacity of channels between von Neumann algebras

Pieter Naaijkens Universidad Complutense de Madrid 9 September 2019

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Infinite quantum systems

Can we do quantum information?

Quantum systems with infinitely many d.o.f.: Quantum field theory Systems in thermodynamic limit… e.g. quantum spin systems with topological order

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Infinite quantum systems

Take an operator algebraic approach

E.g.: infinitely many spins: Superselection sectors Stone-von Neumann uniqueness

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Outline

Quantum information Example Von Neumann algebras

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Von Neumann algebras

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Von Neumann algebras

*-subalgebra and closed in norm Equivalent definition: It is a von Neumann algebra if closed in w.o.t.: A factor Can be classified into Type I, Type II, Type III

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Normal states

with A state is a positive linear functional Normal if

If a factor is not of Type I, there are no normal pure states

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Definition of index

For irreducible inclusion index is the best constant

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Araki relative entropy

Let be faithful normal states: Def: Def: Umegaki:

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Quantum information

work mainly in the Heisenberg picture

  • bservables modelled by von Neumann algebra

consider normal states on channels are normal unital CP maps Araki relative entropy

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use quantum systems to communicate main question: how much information can I transmit? will consider infinite systems here… … described by subfactors channel capacity is given by Jones index

Quantum information

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Quantum information

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Sending classical information

풳 풴

encoding sending decoding Shannon information I(X : Y) Ey ≥ 0, ∑

y∈풴

Ey = I POVM measurement State preparation x ↦ ωx ↦ ℰ*(ωx) := ωx ∘ ℰ

Gives a classical channel !

풳 → 풴

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Distinguishing states Alice prepares a mixed state : …and sends it to Bob Can Bob recover ?

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Holevo 휒 quantity In general not exactly: Generalisation of Shannon information

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Holevo 휒 quantity In general not exactly: Generalisation of Shannon information

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Infinite systems

Suppose is an infinite factor, say Type III, and a faithful normal state where

Better to compare algebras!

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Limited access

Alice Bob Eve ℛ ⊂ ̂ ℛ subfactor ̂ ℛ ̂ ℛ ℛ identity channel restriction

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Quantum wiretapping

Alice Bob Eve

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Theorem (Devetak, Cai/Winter/Yeung) The rate of a wiretapping channel is given by

lim

n→∞

1 n max

{px,ρx}

  • χ({px}, Φ⊗n

B (ρx)}) − χ({px}, Φ⊗n E (ρx)})

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Comparing algebras

Want to compare and , with subfactor entropic disturbance

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Jones index and entropy

gives an information-theoretic interpretation to the Jones index

Hiai, J. Operator Theory, ’90; J. Math. Soc. Japan, ‘91

constrained channel

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Single-letter formula

It can be shown that [

̂ ℛ⊗n : ℛ⊗n] = [ ̂ ℛ : ℛ]n

Hence we get a single letter formula! lim

n→∞

1 n sup

{px},{ωx}

χ({px}, {ωx}) − χ({px}, {ωx|ℛ⊗n}) states on with

̂ ℛ⊗n ω ∘ ℰ⊗n = ω

= lim

n→∞

1 n log[ ̂ ℛ⊗n : ℛ⊗n]

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What is missing?

No coding theorem yet! no pure states analogue of typical subspaces? look at hyperfinite factors? Positive side: can find states in concrete examples subfactors are well studied

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Example

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A(Λ) = O

x∈Λ

Md(C)

Quasi-local algebra A =

[

Λ

A(Λ)

k·k

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A(Λ) = O

x∈Λ

Md(C)

and local Hamiltonians HΛ ∈ A(Λ)

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A(Λ) = O

x∈Λ

Md(C)

ground state representation π0

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Toric code

unique translation invariant ground state ω0 corresponding GNS representation π0 can identify anyonic excitations with π0 ∘ ρ where is localised and transportable autom.

ρ

can recover all anyons and their properties

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RAB = RA ∨ RB RA = π0(A(A))00 RB

b RAB = π0(A((A ∪ B)c))0

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Locality: RAB ⊂ b RAB but: RAB $ b RAB

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A

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Some remarks

Four states that can be distinguished perfectly on …

̂ ℛAB

… but coincide on ℛAB Inclusion of finite dim. algebras …

A ↦ A ⊕ A ⊕ A ⊕ A

with “convergence” to ℛAB ⊂

̂ ℛAB

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Conclusions

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Conclusions

Coding theorem missing Stability of capacity? QI channels for op. algs.