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Categories and Quantum Informatics Week 7: Complementarity Chris - PowerPoint PPT Presentation

Categories and Quantum Informatics Week 7: Complementarity Chris Heunen 1 / 31 Overview Incompatible Frobenius structures: mutually unbiased bases DeutschJozsa algorithm: prototypical use of complementarity Quantum groups: strong


  1. Categories and Quantum Informatics Week 7: Complementarity Chris Heunen 1 / 31

  2. Overview ◮ Incompatible Frobenius structures: mutually unbiased bases ◮ Deutsch–Jozsa algorithm: prototypical use of complementarity ◮ Quantum groups: strong complementarity ◮ Qubit gates: quantum circuits 2 / 31

  3. Idea � 1 � 0 � 1 � 1 } , then in { 1 1 ◮ Measure qubit in basis { � � � � , , } : √ √ 0 1 1 − 1 2 2 probability of either outcome 1 / 2. 3 / 31

  4. Idea � 1 � 0 � 1 � 1 } , then in { 1 1 ◮ Measure qubit in basis { � � � � , , } : √ √ 0 1 1 − 1 2 2 probability of either outcome 1 / 2. ◮ First measurement provides no information about second: Heisenberg’s uncertainty principle . 3 / 31

  5. Idea � 1 � 0 � 1 � 1 } , then in { 1 1 ◮ Measure qubit in basis { � � � � , , } : √ √ 0 1 1 − 1 2 2 probability of either outcome 1 / 2. ◮ First measurement provides no information about second: Heisenberg’s uncertainty principle . ◮ Orthogonal bases { a i } and { b j } are complementary/unbiased if � a i | b j �� b j | a i � = c for some c ∈ C . 3 / 31

  6. Complementarity In braided monoidal dagger category, symmetric dagger Frobenius structures and on the same object are complementary if: = = 4 / 31

  7. Complementarity In braided monoidal dagger category, symmetric dagger Frobenius structures and on the same object are complementary if: = = Black and white not obviously interchangeable. But by symmetry: = = So could have added two more equalities. 4 / 31

  8. Complementarity in FHilb Commutative dagger Frobenius structures in FHilb complementary if and only if they copy complementary bases (with c = 1). 5 / 31

  9. Complementarity in FHilb Commutative dagger Frobenius structures in FHilb complementary if and only if they copy complementary bases (with c = 1). Proof. For all a in white basis, and b in black basis: b b b b a b = = = = 1 a b a a a a 5 / 31

  10. Twisted knickers In compact dagger category, if A is self-dual, the following Frobenius structure on A ⊗ A is complementary to pair of pants: A ⊗ A A A A ⊗ A A A = = A ⊗ A A ⊗ A A A A A 6 / 31

  11. Twisted knickers In compact dagger category, if A is self-dual, the following Frobenius structure on A ⊗ A is complementary to pair of pants: A ⊗ A A A A ⊗ A A A = = A ⊗ A A ⊗ A A A A A = = = So Frobenius structure on A gives complementary pair on A ⊗ A . 6 / 31

  12. Pauli basis Three mutually complementary bases of C 2 : � 1 � 1 � 1 � �� , 1 X basis √ √ 1 − 1 2 2 � 1 � 1 � 1 � �� , 1 Y basis √ √ i − i 2 2 �� 1 � � 0 �� Z basis , 0 1 7 / 31

  13. Pauli basis Three mutually complementary bases of C 2 : � 1 � 1 � 1 � �� , 1 X basis √ √ 1 − 1 2 2 � 1 � 1 � 1 � �� , 1 Y basis √ √ i − i 2 2 �� 1 � � 0 �� Z basis , 0 1 ◮ Largest family of complementary bases for C 2 : no four bases all mutually unbiased. 7 / 31

  14. Pauli basis Three mutually complementary bases of C 2 : � 1 � 1 � 1 � �� , 1 X basis √ √ 1 − 1 2 2 � 1 � 1 � 1 � �� , 1 Y basis √ √ i − i 2 2 �� 1 � � 0 �� Z basis , 0 1 ◮ Largest family of complementary bases for C 2 : no four bases all mutually unbiased. ◮ What is the maximum number of mutually complementary bases in a given dimension? Only known for prime power dimensions p n . 7 / 31

  15. Characterisation Symmetric dagger Frobenius structures in braided monoidal dagger category complementary if and only if the following is unitary: 8 / 31

  16. Characterisation Symmetric dagger Frobenius structures in braided monoidal dagger category complementary if and only if the following is unitary: Proof. Compose with adjoint: = = 8 / 31

  17. Characterisation Symmetric dagger Frobenius structures in braided monoidal dagger category complementary if and only if the following is unitary: Proof. Compose with adjoint: = = Conversely, if is identity, compose with white counit on top right, black unit on bottom left, to get complementarity. 8 / 31

  18. Complementarity in Rel If G , H are nontrivial groups, these are complementary groupoids: ◮ objects g ∈ G , morphisms g ( g , h ) g , with ( g , h ′ ) • ( g , h ) = ( g , hh ′ ) ◮ objects h ∈ H , morphisms h ( g , h ) h , with ( g ′ , h ) ◦ ( g , h ) = ( gh ′ , h ) 9 / 31

  19. Complementarity in Rel If G , H are nontrivial groups, these are complementary groupoids: ◮ objects g ∈ G , morphisms g ( g , h ) g , with ( g , h ′ ) • ( g , h ) = ( g , hh ′ ) ◮ objects h ∈ H , morphisms h ( g , h ) h , with ( g ′ , h ) ◦ ( g , h ) = ( gh ′ , h ) Proof. ( g , hh ′− 1 ) ( gg ′ , h ′ ) [ k = h ′ ] � ( g , hk − 1 ) ( g , k ) ( g ′ , h ′ ) k ( g , h ) ( g ′ , h ′ ) Every input related to unique output, so unitary. Groupoid allows complementary one just when every object has number of outgoing morphisms. 9 / 31

  20. The Deutsch-Jozsa algorithm Solves certain problem faster than possible classically ◮ Typical exact quantum decision algorithm (no approximation) ◮ Problem artificial, but other important algorithms very similar: ◮ Shor’s factoring algorithm ◮ Grover’s search algorithm ◮ the hidden subgroup problem ◮ ‘All or nothing’ nature makes it categorical 10 / 31

  21. The Deutsch-Jozsa algorithm Problem: ◮ Given 2-valued function A f { 0 , 1 } on a finite set A . ◮ Constant if takes just a single value on every element of A . ◮ Balanced if takes value 0 on exactly half the elements of A . ◮ You are promised that f is either constant or balanced. You must decide which. 11 / 31

  22. The Deutsch-Jozsa algorithm Problem: ◮ Given 2-valued function A f { 0 , 1 } on a finite set A . ◮ Constant if takes just a single value on every element of A . ◮ Balanced if takes value 0 on exactly half the elements of A . ◮ You are promised that f is either constant or balanced. You must decide which. Best classical strategy: ◮ Sample f on 1 2 | A | + 1 elements of A . If different values then balanced, otherwise constant. 11 / 31

  23. The Deutsch-Jozsa algorithm Quantum Deutsch-Jozsa uses f only once ! How to access f ? Can only apply unitary operators... 12 / 31

  24. The Deutsch-Jozsa algorithm Quantum Deutsch-Jozsa uses f only once ! How to access f ? Can only apply unitary operators... Must embed A f { 0 , 1 } into an oracle . Given Frobenius structures ( A , , ) and ( B , , ) in monoidal dagger category, oracle is morphism A f B making the following unitary: A B f A B 12 / 31

  25. Where to find oracles Let ( A , ) , ( B , ) and ( B , ) be symmetric dagger Frobenius. If , complementary, self-conjugate comonoid homomorphism ) f ( B , ( A , ) is oracle. Proof. f f f f f = = = f f f = = = = f f 13 / 31

  26. The Deutsch-Jozsa algorithm Let A f { 0 , 1 } be given function, and | A | = n . = C 2 , Choose complementary bases = C [ Z 2 ] . � 1 � Let b = , a copyable state of . − 1 The Deutsch–Jozsa algorithm is this morphism: √ n C 2 1 / Measure the first system f Apply a unitary map √ √ n 1 / 1 / Prepare initial states b 2 14 / 31

  27. Deutsch-Jozsa simplifies The Deutsch–Jozsa algorithm simplifies to: b b √ 1 / 1 / f n 2 Proof. Duplicate copyable state b through white dot, and apply noncommutative spider theorem to cluster of gray dots. 15 / 31

  28. Deutsch-Jozsa correctness: constant If A f { 0 , 1 } is constant, the Deutsch-Jozsa history is certain. 16 / 31

  29. Deutsch-Jozsa correctness: constant If A f { 0 , 1 } is constant, the Deutsch-Jozsa history is certain. Proof. If f ( a ) = x for all a ∈ A , oracle H f C 2 decomposes as: x f = 16 / 31

  30. Deutsch-Jozsa correctness: constant If A f { 0 , 1 } is constant, the Deutsch-Jozsa history is certain. Proof. If f ( a ) = x for all a ∈ A , oracle H f C 2 decomposes as: x f = So history is: b b b b b = = x ± 1 √ √ 1 / f 1 / 2 2 √ 1 / 2 1 / n 1 / n This has norm 1, so the history is certain. 16 / 31

  31. Deutsch-Jozsa correctness:balanced If A f { 0 , 1 } is balanced, the Deutsch–Jozsa history is impossible. 17 / 31

  32. Deutsch-Jozsa correctness:balanced If A f { 0 , 1 } is balanced, the Deutsch–Jozsa history is impossible. Proof. The function f is balanced just when the following holds: b = 0 f � 1 � Recall b = . − 1 17 / 31

  33. Deutsch-Jozsa correctness:balanced If A f { 0 , 1 } is balanced, the Deutsch–Jozsa history is impossible. Proof. The function f is balanced just when the following holds: b = 0 f � 1 � Recall b = . Hence the final history equals 0. − 1 17 / 31

  34. Bialgebras Complementary classical structures in FHilb are mutually unbiased bases. How to build them? 18 / 31

  35. Bialgebras Complementary classical structures in FHilb are mutually unbiased bases. How to build them? One standard way: let G be finite group, and consider Hilbert space with basis { g ∈ G } , with : g �→ g ⊗ g : g �→ 1 � : g ⊗ h �→ gh : 1 �→ g g ∈ G 18 / 31

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