Storage of Quantum Information in Topological Systems with Majorana Fermions

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1 Storage of Quantum Information in Topological Systems with Majorana Fermions Leonardo Mazza Scuola Normale Superiore, Pisa Mainz September 26th, 2013 Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26th, / 21

2 Acknowledgements Max-Planck-Institut für Quantenoptik, München Ignacio Cirac Universität Mainz, Mainz Matteo Rizzi Harvard University, Cambridge MA Misha Lukin Regione Toscana Scuola Normale Superiore, Pisa Europe Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

3 Outline 1 Introduction Storing Quantum Information Zero-Energy Majorana Fermions 2 Theoretical Results The Storage of Information in Presence of Pertubations Optimal Recovery Operations 3 Numerical Results Hamiltonian Quench Perturbations 4 Conclusions Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

4 Outline 1 Introduction Storing Quantum Information Zero-Energy Majorana Fermions 2 Theoretical Results The Storage of Information in Presence of Pertubations Optimal Recovery Operations 3 Numerical Results Hamiltonian Quench Perturbations 4 Conclusions Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

5 The Storage of Quantum Information Idea 1: atomic quantum memory Two Zeeman levels as qubit: 0 = F, m F, 1 = F, m F E i Ψ = α 0 + β 1 Ψ(t) = α 0 + e t β 1 usually E B, external magnetic field Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

6 The Storage of Quantum Information Idea 1: atomic quantum memory Two Zeeman levels as qubit: 0 = F, m F, 1 = F, m F E i Ψ = α 0 + β 1 Ψ(t) = α 0 + e t β 1 usually E B, external magnetic field Idea 2: topological quantum memory N-particle Hamiltonian Ĥ with: energy gap & degenerate ground space robust degeneracy Ĥ + ˆV Ground space Qubit Robust quasi-degeneracy protects against dephasing Kitaev, arxiv:quant-ph/ v1 (1997) Dennis et al, J. Math. Phys. 43, 4452 (2002) Bravyi et al, J Math Phys (2010) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

7 The Problem of the Reliability Atomic quantum memory: easy to manipulate, but unreliable Topological quantum memory: difficult to manipulate, but reliable (?) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

8 The Problem of the Reliability Atomic quantum memory: easy to manipulate, but unreliable Topological quantum memory: difficult to manipulate, but reliable (?) Reliability: the benchmark quantities of the topological quantum memory should improve with the size of the system 1 the intricacies of a N-particles state are paid back by an intrinsic stability of the system 2 N particles collaborate to protect the information 3 no experiments: focus on scalings Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

9 The Problem of the Reliability Atomic quantum memory: easy to manipulate, but unreliable Topological quantum memory: difficult to manipulate, but reliable (?) Reliability: the benchmark quantities of the topological quantum memory should improve with the size of the system 1 the intricacies of a N-particles state are paid back by an intrinsic stability of the system 2 N particles collaborate to protect the information 3 no experiments: focus on scalings This talk: Is a topological quantum memory reliable? Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

10 The Problem of the Reliability Atomic quantum memory: easy to manipulate, but unreliable Topological quantum memory: difficult to manipulate, but reliable (?) Reliability: the benchmark quantities of the topological quantum memory should improve with the size of the system 1 the intricacies of a N-particles state are paid back by an intrinsic stability of the system 2 N particles collaborate to protect the information 3 no experiments: focus on scalings This talk: Is a topological quantum memory based on Majorana fermions reliable? See also previous work by: Chesi, Loss, Bravyi and Terhal NJP (2010); Cheng, Galitski and Das Sarma PRB (2011); Goldstein and Chamon PRB (2011); Budich, Walter and Trauzettel PRB (R) (2012); König and Bravyi Comm Math Phys (2012); Cheng, Lutchyn and Das Sarma PRB (2012); Rainis and Loss PRB (2012); Schmidt, Rainis and Loss PRB (2012). Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

11 Topological Superconductors 1D Kitaev chain H = µ N N 1 N 1 n j J a j+1 a j + a j+1 a j +H.c. j=1 j=1 Kitaev Physics-Uspekhi (2001) j=1 c j,1 = a j + a j c j,2 = i(a j a j ) GROUND SPACE: g d g Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

12 Topological Superconductors 1D Kitaev chain H = µ N N 1 N 1 n j J a j+1 a j + a j+1 a j +H.c. j=1 j=1 Kitaev Physics-Uspekhi (2001) j=1 c j,1 = a j + a j c j,2 = i(a j a j ) GROUND SPACE: g a g d g a d g Why an ancilla? Fermionic superselection rules on parity Models the low-energy of a Kitaev chain Is taken decoherence-free Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

13 Topological Superconductors 1D Kitaev chain H = µ N N 1 N 1 n j J a j+1 a j + a j+1 a j +H.c. j=1 j=1 Kitaev Physics-Uspekhi (2001) j=1 c j,1 = a j + a j c j,2 = i(a j a j ) QUBIT: 0 = g 1 = a d g Why an ancilla? Fermionic superselection rules on parity Models the low-energy of a Kitaev chain Is taken decoherence-free Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

14 Outline 1 Introduction Storing Quantum Information Zero-Energy Majorana Fermions 2 Theoretical Results The Storage of Information in Presence of Pertubations Optimal Recovery Operations 3 Numerical Results Hamiltonian Quench Perturbations 4 Conclusions Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

15 Modelling the Effect of Perturbations Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

16 Modelling the Effect of Perturbations Given a decoherence channel, what is the best recovery operation? How much ˆρ q ˆρ q? How does the memory-time associated to the best recovery operation depend on the size N? Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

17 Optimal Recovery Operation Previous work: 1 No recovery operation is applied at all 2 The standard recovery operation is applied once at the end of the storage time Problem: The information could still be in the system but not retrieved with the previous methods Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

18 Optimal Recovery Operation Previous work: 1 No recovery operation is applied at all 2 The standard recovery operation is applied once at the end of the storage time Problem: The information could still be in the system but not retrieved with the previous methods Fidelity of a Recovery Operation F (R( )) = dµ φ φ R D( φ φ ) φ φ is a pure qubit state Optimal Recovery Operation F opt max F (R( )) R Information still in the system Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

19 Optimal Recovery Operation Previous work: 1 No recovery operation is applied at all 2 The standard recovery operation is applied once at the end of the storage time Problem: The information could still be in the system but not retrieved with the previous methods Fidelity of a Recovery Operation F (R( )) = dµ φ φ R D( φ φ ) φ φ is a pure qubit state F opt = Dt(ρq,x,+) Dt(ρq,x, ) tr 6 Optimal Recovery Operation F opt max F (R( )) R Information still in the system Decoherence free assumption look at the equator of the Bloch sphere LM, Rizzi, Lukin, Cirac arxiv: (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

20 Outline 1 Introduction Storing Quantum Information Zero-Energy Majorana Fermions 2 Theoretical Results The Storage of Information in Presence of Pertubations Optimal Recovery Operations 3 Numerical Results Hamiltonian Quench Perturbations 4 Conclusions Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

21 Hamiltonian Perturbations Isolated quantum system Hamiltonian time-evolution Cold atoms ρ(t) = e iht ρ(0)e iht The Hamiltonian of the time evolution may be (partially) unknown The Hamiltonian H(λ) depends on a parameter λ out of control, which varies at every experimental measure Statistical mixture D t (ρ q ) = 1 e ih(λ j )t ρ(0)e ih(λ j )t N j NON UNITARY time-evolution Quench problem: not much known on out-of-equilibrium properties of topological states König and Bravyi Comm Math Phys (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

22 Hamiltonian Perturbations ρ + (t) ρ (t) tr / 2 Initialization with respect to a specific Hamiltonian Time-evolution sampling within the topological region D t (ρ q ) = 1 e ih(λ j )t ρ(0)e ih(λ j )t N j 1.02 N = N = N = N = 8 Efficient computation possible using BCS (fermionic Gaussian) states even for the optimal fidelity time (J 1 ) LM, Rizzi, Lukin, Cirac arxiv: (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

23 Size Scaling Memory time t N (F 0 ) : first time at which fidelity F 0 < 1.0 in a system of size N 400 t 0 (J 1 ) F 0 = F 0 = F 0 = N Compatible with an exponential scaling with the size N LM, Rizzi, Lukin, Cirac arxiv: (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

24 Time-Dependent Perturbation Initialization with respect to a specific Hamiltonian /J Time-evolution sampling within the topological region λ(t) depends on time D t (ρ q ) = 1 e ih(λ j )t ρ(0)e ih(λ j )t 2 N j Μ -2 µ/j Μ ρ + (t) ρ (t) tr / 2 t 0 (J 1 ) (a) (b) time (J 1 ) (c) time (J 1 ) N N = 8 N = 12 N = 16 N = 20 N = 24 F 0 = 0.97 F 0 = 0.98 F 0 = 0.99 Μ time 2Π Left: time dependence in µ and Right: time dependence in µ and and randomness in µ i Bottom: fidelity scaling Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

25 Topological Protection Initialization with respect to a specific Hamiltonian Time-evolution sampling outside the topological region D t (ρ q ) = 1 e ih(λ j )t ρ(0)e ih(λ j )t N 1 j 00 ρ + (t) ρ (t) tr / time (J 1 ) N = 8 N = 16 N = 24 N = 32 N = 40 N = 48 LM, Rizzi, Lukin, Cirac arxiv: (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

26 Is Disorder Necessary? General widespread idea: disorder and localization improve the stability of a memory. localization of errors dephasing happens on longer time-scales Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

27 Is Disorder Necessary? General widespread idea: disorder and localization improve the stability of a memory. localization of errors dephasing happens on longer time-scales 1 Initialize in g + a d g 2 w.r.t. H 0 2 Time-evolution with H 0 + V 3 Apply one specific physically-motivate error-correction procedure V can be disordered or not disordered from: Bravyi and König, Comm. Math. Phys (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

28 Is Disorder Necessary? General widespread idea: disorder and localization improve the stability of a memory. localization of errors dephasing happens on longer time-scales 1 Initialize in g + a d g 2 w.r.t. H 0 2 Time-evolution with H 0 + V 3 Apply one specific physically-motivate error-correction procedure V can be disordered or not disordered from: Bravyi and König, Comm. Math. Phys (2012) Information is anyway preserved, but the recovery operation does not find it See other works on toric code: Wotton, Pachos, PRL 107, (2011); Stark, Pollet, Imamoglu, Renner, PRL 107, (2011). Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

29 Towards an Explanation 1 Two ground states: 0 g and 1 d g 2 Hamiltonians for the time evolution: {H(λ j )} N dis j=1 Overlap matrices for out-of-equilibrium states G(0) j,k 0 e ih(λ j )t e ih(λ k )t 0 G(1) j,k 1 e ih(λ j )t e ih(λ k )t 1 Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

30 Towards an Explanation 1 Two ground states: 0 g and 1 d g 2 Hamiltonians for the time evolution: {H(λ j )} N dis j=1 Overlap matrices for out-of-equilibrium states G(0) j,k 0 e ih(λ j )t e ih(λ k )t 0 G(1) j,k 1 e ih(λ j )t e ih(λ k )t 1 [ ] 1 2 ˆρ x,+(t) ˆρ x, (t) 1 = Tr G(0) G(1) N dis N dis = G(0) N dis, G(1) N dis HS Recoverable information: 1 excitations propagate in the two parity sectors of the theory in the same way N 2 [G(0) G(1)] j,k 0 Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

31 Towards an Explanation 1 Two ground states: 0 g and 1 d g 2 Hamiltonians for the time evolution: {H(λ j )} N dis j=1 Overlap matrices for out-of-equilibrium states G(0) j,k 0 e ih(λ j )t e ih(λ k )t 0 G(1) j,k 1 e ih(λ j )t e ih(λ k )t 1 [ ] 1 2 ˆρ x,+(t) ˆρ x, (t) 1 = Tr G(0) G(1) N dis N dis = G(0) N dis, G(1) N dis HS Recoverable information: 1 excitations propagate in the two parity sectors of the theory in the same way N 2 [G(0) G(1)] j,k 0 [G(0) G(1)] j,k = det X (j, k) Topological H(λ j ) Non-Topological H(λ j ) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

32 Outline 1 Introduction Storing Quantum Information Zero-Energy Majorana Fermions 2 Theoretical Results The Storage of Information in Presence of Pertubations Optimal Recovery Operations 3 Numerical Results Hamiltonian Quench Perturbations 4 Conclusions Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

33 Hints from Quantum Information to Many-Body Physics 1 Quantum quench with a set of Hamiltonians real-time evolution + average over realizations 1 testing the robustness of information & other quantities to unknown changes in the parameters of the Hamiltonian 2 it does not necessarily means: average over disorder Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

34 Hints from Quantum Information to Many-Body Physics 1 Quantum quench with a set of Hamiltonians real-time evolution + average over realizations 1 testing the robustness of information & other quantities to unknown changes in the parameters of the Hamiltonian 2 it does not necessarily means: average over disorder 2 Equilibration picture in topological vs non-topological systems 1 equilibration of zero-energy modes in non-disordered systems Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

35 Hints from Quantum Information to Many-Body Physics 1 Quantum quench with a set of Hamiltonians real-time evolution + average over realizations 1 testing the robustness of information & other quantities to unknown changes in the parameters of the Hamiltonian 2 it does not necessarily means: average over disorder 2 Equilibration picture in topological vs non-topological systems 1 equilibration of zero-energy modes in non-disordered systems 3 Many-body systems and information 1 a huge Hilbert space may possibly be useful for conserving important properties over long times 2 complexity of dealing with a many-body system 3 is disorder the only solution? Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

36 Thank you for your attention! Results: Is a quantum memory based on Majorana fermions reliable? Extreme sensibility to an environment No topological protection against particle losses 1 Information still in the system Optimal recovery operation Protection against Hamiltonian perturbation Hamiltonian must be topological Spectral protection, not only ground state Perspectives: Relaxation of several hypotheses 1 Ancilla is not decoherence free 2 Two-dimensional system p x + ip y as qubit 3 Other topological models: Quantum Hall effect LM, Rizzi, Lukin, Cirac arxiv: (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

37 Optimal Gaussian Recovery Operation Problem: How complicated is the optimal recovery operation? Problem: Can it be realized in practice? Optimal Gaussian Recovery Operation F opt max F (R( )) R is a Gaussian channel What is a Gaussian channel? Addition and discard of fermionic modes Manipulation of two fermionic modes at time Example: time-evolution under quadratic Hamiltonian Covariance matrix of a state Γ ρ two points correlators Tr[ρ a k a l] or Tr[ρ a k a l ] Botero and Reznik Phys Lett A (2004) Bravyi Quantum Info Comp (2005) Information retrievable from the system F opt G = Γ D t(ρ q,x,+) Γ Dt(ρ q,x, ) op LM, Rizzi, Lukin, Cirac arxiv: (2012) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

38 Optimal Gaussian Recovery Operation Initialization with respect to a specific Hamiltonian Time-evolution sampling within the topological region D t (ρ q ) = 1 e ih(λ j )t ρ(0)e ih(λ j )t N j Γ + (t) Γ (t) op / N = 24, 32, 40, N = 8 N = time (J 1 ) Leonardo Mazza (SNS) Storage of Information & Majorana Fermions September 26 th, / 21

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