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Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Quantum decoupling via efficient classical operations and the entanglement cost of one-shot quantum protocols Anurag Anshu (joint work with


  1. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Quantum decoupling via efficient ‘classical’ operations and the entanglement cost of one-shot quantum protocols Anurag Anshu (joint work with Rahul Jain) Institute for Quantum Computing and Perimeter Institute for Theoretical Physics, Waterloo https://arxiv.org/abs/1809.07056 November 14, 2018

  2. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Outline for section 1 Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization

  3. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Shannon’s source compression { p ( x ) , x } x 1 , x 2 , . . . x n x 1 , x 2 , . . . x n Shannon [Bell Sys. Tech. Jour, 1948].

  4. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Shannon’s source compression { p ( x ) , x } x 1 , x 2 , . . . x n x 1 , x 2 , . . . x n Shannon [Bell Sys. Tech. Jour, 1948]. Most sources (telegraphy, television signal, PCM transmitter, natural languages) produce biased distribution, giving scope for compression.

  5. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Shannon’s source coding • Shannon constructed a protocol in which • the “number of bits communicated divided by n ” approached 1 H ( X ) = � x p ( x ) log p ( x ) (the Shannon entropy of the source) • error approached 0 as n → ∞ .

  6. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Shannon’s source coding • Shannon constructed a protocol in which • the “number of bits communicated divided by n ” approached 1 H ( X ) = � x p ( x ) log p ( x ) (the Shannon entropy of the source) • error approached 0 as n → ∞ . • Idea: communicate only the ‘typical’ sequences. • Shannon entropy captures the ‘information content’ of the source.

  7. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Slepian-Wolf source compression with side information { p ( x , y ) , x , y } y x x Slepian, Wolf [IEEE IT, 1973].

  8. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Slepian-Wolf source compression with side information • Showed that rate of communication is H ( X | Y ), the conditional entropy, in asymptotic and i.i.d. setting.

  9. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Slepian-Wolf source compression with side information • Showed that rate of communication is H ( X | Y ), the conditional entropy, in asymptotic and i.i.d. setting. • In one-shot setting, one gets a one-shot version of H ( X | Y ), known as H max ( X | Y ). • Note that Alice does not know y .

  10. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Slepian-Wolf source compression with side information • Showed that rate of communication is H ( X | Y ), the conditional entropy, in asymptotic and i.i.d. setting. • In one-shot setting, one gets a one-shot version of H ( X | Y ), known as H max ( X | Y ). • Note that Alice does not know y . • Idea of random function: Alice applies a random permutation π on X and sends first H max ( X | Y ) bits to Bob. • Chances that π ( x ) and π ( x ′ ) agree on the remaining log | X | − H max ( X | Y ) bits is very small, given Bob’s knowledge of y .

  11. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Randomness extractor • Given joint random variables XE , apply a function on X such that the output is uniform and independent of E . • Usually additional randomness is required for efficient implementation of the function (Trevisan [STOC, 1999]).

  12. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Randomness extractor • Given joint random variables XE , apply a function on X such that the output is uniform and independent of E . • Usually additional randomness is required for efficient implementation of the function (Trevisan [STOC, 1999]). • Simple construction: apply a random permutation π on X and discard all but first H min ( X | E ) bits.

  13. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Randomness extractor • Given joint random variables XE , apply a function on X such that the output is uniform and independent of E . • Usually additional randomness is required for efficient implementation of the function (Trevisan [STOC, 1999]). • Simple construction: apply a random permutation π on X and discard all but first H min ( X | E ) bits. • Random permutation can be replaced by pairwise independent permutations. • Pick a , b ∈ X at random. • Apply F a , b ( x ) = ax + b modulo | X | .

  14. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Outline for section 2 Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization

  15. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization The task of decoupling • Given a quantum state Ψ RA , apply a unitary on A to output A 1 A 2 . • We require R to be independent of A 1 after discarding A 2 . • May or may not want A 1 to be uniform.

  16. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization The task of decoupling • Given a quantum state Ψ RA , apply a unitary on A to output A 1 A 2 . • We require R to be independent of A 1 after discarding A 2 . • May or may not want A 1 to be uniform. • What is the minimum size of A 2 to be discarded to achieve this? • How efficient can the unitary be?

  17. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Task: Quantum state transfer R A | Ψ � RA Schumacher [Phys. Rev. A., 1995]

  18. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Task: Quantum state transfer R A

  19. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Task: Quantum state merging R A B | Ψ � RAB Horodecki, Oppenheim, Winter [Nature, 2005]

  20. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Task: Quantum state merging R B A

  21. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Protocol: Quantum state transfer R A | Ψ � RA

  22. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Alice applies decoupling unitary R A 1 A 2

  23. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Alice sends A 2 to Bob R A 1 A 2

  24. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Bob separates out the purification of R R A 1 A A ′ 2

  25. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Other uses of decoupling • Almost all quantum communication paradigms (quantum state merging, Horodecki, Oppenheim, Winter [Nature, 2005]; quantum state redistribution, Devetak, Yard [PRL, 2008]; quantum channel coding, Hayden, Horodecki, Winter, Yard [OSID, 2008],...).

  26. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Other uses of decoupling • Almost all quantum communication paradigms (quantum state merging, Horodecki, Oppenheim, Winter [Nature, 2005]; quantum state redistribution, Devetak, Yard [PRL, 2008]; quantum channel coding, Hayden, Horodecki, Winter, Yard [OSID, 2008],...). • Randomness extraction (Renner [PhD Thesis, 2005]; Berta [PhD Thesis, 2013]).

  27. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Other uses of decoupling • Almost all quantum communication paradigms (quantum state merging, Horodecki, Oppenheim, Winter [Nature, 2005]; quantum state redistribution, Devetak, Yard [PRL, 2008]; quantum channel coding, Hayden, Horodecki, Winter, Yard [OSID, 2008],...). • Randomness extraction (Renner [PhD Thesis, 2005]; Berta [PhD Thesis, 2013]). • Quantum thermodynamics (del Rio, Aberg, Renner, Dahlsten, Vedral [Nature, 2011]).

  28. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Other uses of decoupling • Almost all quantum communication paradigms (quantum state merging, Horodecki, Oppenheim, Winter [Nature, 2005]; quantum state redistribution, Devetak, Yard [PRL, 2008]; quantum channel coding, Hayden, Horodecki, Winter, Yard [OSID, 2008],...). • Randomness extraction (Renner [PhD Thesis, 2005]; Berta [PhD Thesis, 2013]). • Quantum thermodynamics (del Rio, Aberg, Renner, Dahlsten, Vedral [Nature, 2011]). • Black hole physics (Page [PRL, 1993]; Hayden, Preskill [JHEP, 2007]).

  29. Review of some classical tasks Quantum tasks Efficient decoupling and entanglement optimization Known decouplers • Random unitary (Horodecki, Oppenheim, Winter [Nature, 2005]; Dupuis [PhD thesis, 2010]; Szehr [Masters thesis, 2011]; Dupuis, Berta, Wullschleger, Renner [Comm. Math. Phys, 2014]).

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