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Motivation Techniques Open Questions Robust Self Testing for Linear Constraint Games Andrea Coladangelo Jalex Stark Department of Computing and Mathematical Sciences California Institute of Technology QIP 2018, 16 January 2017 Andrea


  1. Motivation Techniques Open Questions Robust Self Testing for Linear Constraint Games Andrea Coladangelo Jalex Stark Department of Computing and Mathematical Sciences California Institute of Technology QIP 2018, 16 January 2017 Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  2. Motivation The magic square Techniques A conventional self-testing proof Open Questions Outline Motivation 1 The magic square A conventional self-testing proof Techniques 2 Open Questions 3 Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  3. Motivation The magic square Techniques A conventional self-testing proof Open Questions What makes self testing work? Self-testing community has a bag of tricks that requires intuition and hard work to apply. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  4. Motivation The magic square Techniques A conventional self-testing proof Open Questions What makes self testing work? Self-testing community has a bag of tricks that requires intuition and hard work to apply. Thesis: Self-testing proofs run on algebra representations. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  5. Motivation The magic square Techniques A conventional self-testing proof Open Questions What makes self testing work? Self-testing community has a bag of tricks that requires intuition and hard work to apply. Thesis: Self-testing proofs run on algebra representations. We focus on the simplest possible new results with proofs using a representation-theoretic framework. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  6. Motivation The magic square Techniques A conventional self-testing proof Open Questions Outline Motivation 1 The magic square A conventional self-testing proof Techniques 2 Open Questions 3 Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  7. Motivation The magic square Techniques A conventional self-testing proof Open Questions A pseudotelepathic self-testing result Theorem ([Wu+16]) There is a two-prover nonlocal game with perfect completeness self-testing the maximally entangled state on two pairs of qubits. The self-test has O ( ε ) robustness, i.e. if the provers win with probability 1 − ε , then their state is O ( ε ) close in trace distance to the ideal state. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  8. Motivation The magic square Techniques A conventional self-testing proof Open Questions A pseudotelepathic self-testing result Theorem ([Wu+16]) There is a two-prover nonlocal game with perfect completeness self-testing the maximally entangled state on two pairs of qubits. The self-test has O ( ε ) robustness, i.e. if the provers win with probability 1 − ε , then their state is O ( ε ) close in trace distance to the ideal state. This was the first self-test using a pseudotelepathy game , i.e. a nonlocal game where ideal quantum provers win with probability 1 while any classical provers win with probability < 1. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  9. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Mermin–Peres Magic Square equations e 1 e 2 e 3 e 1 + e 2 + e 3 = 0 (mod d ) e 4 + e 5 + e 6 = 0 (mod d ) e 7 + e 8 + e 9 = 0 (mod d ) e 4 e 5 e 6 − ( e 2 + e 5 + e 8 ) = 1 (mod d ) − ( e 1 + e 4 + e 7 ) = 0 (mod d ) − ( e 3 + e 6 + e 9 ) = 0 (mod d ) e 7 e 8 e 9 Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  10. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Mermin–Peres Magic Square equations e 1 e 2 e 3 e 1 + e 2 + e 3 = 0 (mod d ) e 4 + e 5 + e 6 = 0 (mod d ) e 7 + e 8 + e 9 = 0 (mod d ) e 4 e 5 e 6 − ( e 2 + e 5 + e 8 ) = 1 (mod d ) − ( e 1 + e 4 + e 7 ) = 0 (mod d ) − ( e 3 + e 6 + e 9 ) = 0 (mod d ) e 7 e 8 e 9 Add up all equations: 0 = 1. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  11. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Magic Square game 1 Verifier asks Alice for an Transcript ( d = 3) assignment to all the variables in a Verifier Alice, assign e 1 , e 2 , e 3 . particular equation. Verifier asks Bob, assign e 2 . Bob for an assignment to one variable in the same equation. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  12. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Magic Square game 1 Verifier asks Alice for an Transcript ( d = 3) assignment to all the variables in a Verifier Alice, assign e 1 , e 2 , e 3 . particular equation. Verifier asks Bob, assign e 2 . Bob for an assignment to one Alice e 1 = 0 , e 2 = 1 , e 3 = variable in the same equation. 2. 2 Without communicating with each Bob e 2 = 1. other, Alice and Bob send answers to Verifier. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  13. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Magic Square game 1 Verifier asks Alice for an Transcript ( d = 3) assignment to all the variables in a Verifier Alice, assign e 1 , e 2 , e 3 . particular equation. Verifier asks Bob, assign e 2 . Bob for an assignment to one Alice e 1 = 0 , e 2 = 1 , e 3 = variable in the same equation. 2. 2 Without communicating with each Bob e 2 = 1. other, Alice and Bob send answers to Verifier. Verifier 0 + 1 + 2 = 0 3 Verifier checks that Alice’s (mod 3). assignment satisfies the relevant Verifier 1 = 1. equation. Alice and Bob win 4 Verifier checks that Alice and Bob the game. agree on their shared variable. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  14. Motivation The magic square Techniques A conventional self-testing proof Open Questions Classical players can’t overcome the contradiction We could make a similar game starting from to any system of linear equations (mod d ). These are called linear constraint system games (LCS games). Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  15. Motivation The magic square Techniques A conventional self-testing proof Open Questions Classical players can’t overcome the contradiction We could make a similar game starting from to any system of linear equations (mod d ). These are called linear constraint system games (LCS games). Fact If a system of equations has no solution, and Alice and Bob use a classical strategy in the corresponding LCS game, then they win with probability < 1 . 1 (In fact, they win with probability ≤ 1 − max( n , m ) , where n , m are the number of equations and variables, respectively.) Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  16. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Mermin–Peres Magic Square operators, d = 2 Z † ⊗ Z † I ⊗ Z Z ⊗ I X 2 = Z 2 = I XZX † Z † = − I X † ⊗ Z Z † ⊗ X † ZX ⊗ XZ X † ⊗ X † X ⊗ I I ⊗ X Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  17. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Mermin–Peres Magic Square operators, d = 2 Z † ⊗ Z † I ⊗ Z Z ⊗ I X 2 = Z 2 = I XZX † Z † = − I On any line, the three operators commute X † ⊗ Z Z † ⊗ X † ZX ⊗ XZ The product of operators on a solid line is I The product of operators on the dashed line is − I X † ⊗ X † X ⊗ I I ⊗ X Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  18. Motivation The magic square Techniques A conventional self-testing proof Open Questions The Mermin–Peres Magic Square operators, d = 2 Z † ⊗ Z † I ⊗ Z Z ⊗ I X 2 = Z 2 = I XZX † Z † = − I On any line, the three operators commute X † ⊗ Z Z † ⊗ X † ZX ⊗ XZ The product of operators on a solid line is I The product of operators on the dashed line is − I X † ⊗ X † X ⊗ I I ⊗ X If we replace { 0 , 1 } with { 1 , − 1 } and replace addition with multiplication, then these operators satisfy the magic square equations! Call this an “operator solution” for the equations. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  19. Motivation The magic square Techniques A conventional self-testing proof Open Questions Winning the game with an operator solution, I Suppose O 1 , O 2 , O 3 are commuting binary observables with � ψ | O 1 O 2 O 3 | ψ � = ( − 1) a . If Alice measures O 1 , O 2 , O 3 to get results a 1 , a 2 , a 3 , then she always has a 1 + a 2 + a 3 = a . Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

  20. Motivation The magic square Techniques A conventional self-testing proof Open Questions Winning the game with an operator solution, I Suppose O 1 , O 2 , O 3 are commuting binary observables with � ψ | O 1 O 2 O 3 | ψ � = ( − 1) a . If Alice measures O 1 , O 2 , O 3 to get results a 1 , a 2 , a 3 , then she always has a 1 + a 2 + a 3 = a . Similarly, suppose that O A and O B satisfy � ψ | O A O † B | ψ � = 1. If Alice measures O A to get outcome a and Bob measures O B to get outcome b , then a − b = 0 will always hold. Andrea Coladangelo, Jalex Stark Robust Self Testing for Linear Constraint Games

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