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On the informational completeness of local observables Isaac H. Kim Perimeter Institute of Theoretical Physics Waterloo, ON N2L 2Y5, Canada January 15th, 2015 Motivation Curse of dimensionality: For problems that involve many degrees of


  1. On the informational completeness of local observables Isaac H. Kim Perimeter Institute of Theoretical Physics Waterloo, ON N2L 2Y5, Canada January 15th, 2015

  2. Motivation Curse of dimensionality: For problems that involve many degrees of freedom, the dimension of the phase space blows up exponentially. Dimension of the quantum state that describes a n -particle system grows as exponentially in n . This can be problematic for many tasks, such as Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 2 / 57

  3. Motivation Curse of dimensionality: For problems that involve many degrees of freedom, the dimension of the phase space blows up exponentially. Dimension of the quantum state that describes a n -particle system grows as exponentially in n . This can be problematic for many tasks, such as Performing quantum state tomography Performing quantum state verification Studying many-body Hamiltonian Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 2 / 57

  4. Motivation Curse of dimensionality: For problems that involve many degrees of freedom, the dimension of the phase space blows up exponentially. Dimension of the quantum state that describes a n -particle system grows as exponentially in n . This can be problematic for many tasks, such as Performing quantum state tomography Performing quantum state verification Studying many-body Hamiltonian Goal : find a large class of states S such that Some of these tasks can be done efficiently. If a state is in S , one can efficiently verify that fact. The above features remain robust against imperfect measurements/finite precision. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 2 / 57

  5. Brief summary I will propose a class of states over n particles, S n that has the following features. One can verify that the state is in S n with O ( n ) measurement/computation time. Any state in S n is defined by a set of O (1)-particle density matrices. State tomography/verification can be done with O ( n ) measurement/computation time. Small errors in the O (1)-particle density matrices don’t propagate too much.(robust error bound) Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 3 / 57

  6. Brief summary I will propose a class of states over n particles, S n that has the following features. One can verify that the state is in S n with O ( n ) measurement/computation time. Any state in S n is defined by a set of O (1)-particle density matrices. State tomography/verification can be done with O ( n ) measurement/computation time. Small errors in the O (1)-particle density matrices don’t propagate too much.(robust error bound) The class includes highly entangled states(e.g., topological code, quantum Hall system). Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 3 / 57

  7. Informational completeness Setup: Suppose we are given a quantum state ρ describing n qubits. We know some of its expectation values. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 4 / 57

  8. Informational completeness Setup: Suppose we are given a quantum state ρ describing n qubits. We know some of its expectation values. 1 Tr ( ρ ) = 1. 2 ρ ≥ 0. 3 Tr ( ρσ i ) = � σ i � , i ∈ I . * I : some finite set. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 4 / 57

  9. Informational completeness Setup: Suppose we are given a quantum state ρ describing n qubits. We know some of its expectation values. 1 Tr ( ρ ) = 1. 2 ρ ≥ 0. 3 Tr ( ρσ i ) = � σ i � , i ∈ I . * I : some finite set. Specifying ρ : Assign expectation values for all linearly independent observables.( ≈ 4 n ) Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 4 / 57

  10. Informational completeness Setup: Suppose we are given a quantum state ρ describing n qubits. We know some of its expectation values. 1 Tr ( ρ ) = 1. 2 ρ ≥ 0. 3 Tr ( ρσ i ) = � σ i � , i ∈ I . * I : some finite set. Specifying ρ : Assign expectation values for all linearly independent observables.( ≈ 4 n ) Such observables are informationally complete : their expectation values completely determine the state. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 4 / 57

  11. Informational completeness Setup: Suppose we are given a quantum state ρ describing n qubits. We know some of its expectation values. 1 Tr ( ρ ) = 1. 2 ρ ≥ 0. 3 Tr ( ρσ i ) = � σ i � , i ∈ I . * I : some finite set. What if we do not specify all the expectation values of the linearly independent observables? : The problem is inherently ill-defined. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 5 / 57

  12. Informational completeness Setup: Suppose we are given a quantum state ρ describing n qubits. We know some of its expectation values. 1 Tr ( ρ ) = 1. 2 ρ ≥ 0. 3 Tr ( ρσ i ) = � σ i � , i ∈ I . * I : some finite set. What if we do not specify all the expectation values of the linearly independent observables? : The problem is inherently ill-defined. Or, is it? Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 5 / 57

  13. Informational completeness of local observables Sometimes, expectation values of local observables completely determine the global state. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 6 / 57

  14. Informational completeness of local observables Sometimes, expectation values of local observables completely determine the global state. 1 Product state : | ψ � = | 0 � ⊗ | 1 � ⊗ · · · ⊗ | 1 � . s 1 , ··· s n Tr ( A s 1 · · · A s n ) | s 1 � ⊗ · · · ⊗ | s n � 2 Matrix product states : � [Cramer et al. 2011] Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 6 / 57

  15. Matrix product states For (injective) matrix product states, local observables can be informationally complete. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 7 / 57

  16. Matrix product states For (injective) matrix product states, local observables can be informationally complete. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 8 / 57

  17. Matrix product states For (injective) matrix product states, local observables can be informationally complete. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 9 / 57

  18. Matrix product states For (injective) matrix product states, local observables can be informationally complete. ρ 12 , ρ 23 , · · · → MPS tomography algorithm → Output Output : MPS | ψ ′ � that is consistent with ρ 12 , ρ 23 , · · · with a certificate showing that | � ψ ′ | ψ real �| ≥ 1 − ǫ . [Cramer et al. 2011] Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 10 / 57

  19. Takeaway message Given a set of expectation values of local observables, there exists an efficiently checkable condition that tells you whether they are informationally complete. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 11 / 57

  20. Takeaway message Given a set of expectation values of local observables, there exists an efficiently checkable condition that tells you whether they are informationally complete. Our result can be thought as a generalization of the result of Cramer et al. to higher dimensional systems, but with an important difference. Cramer et al. appeals to the special structure of the MPS, but our approach does not involve any global wavefunction at all. Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 11 / 57

  21. Setup Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 12 / 57

  22. Setup Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 13 / 57

  23. Setup Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 14 / 57

  24. Setup Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 15 / 57

  25. Setup Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 16 / 57

  26. Setup Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 17 / 57

  27. Question For all sites k , we know the reduced density matrices over the neighborhood of k . k : Site N k : Neighborhood of k . Question: If one can find a state ρ ′ that is consistent with { ρ k N k } , is it close to ρ ? Isaac H. Kim (PI) On the informational completeness of local observables January 15th, 2015 18 / 57

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