engineering correlation and entanglement dynamics in spin chains

35
Engineering correlation and Engineering correlation and entanglement dynamics in spin entanglement dynamics in spin chains chains T. S. Cubitt J.I. Cirac

Upload: dysis

Post on 11-Feb-2016

35 views

Category:

Documents


1 download

DESCRIPTION

T. S. Cubitt. J.I. Cirac. Engineering correlation and entanglement dynamics in spin chains. T. S. Cubitt. Motivation and goals Time evolution of a chain Correlation and entanglement wave-packets Engineering the dynamics: solitons etc. Fermionic gaussian state formalism Conclusions. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Engineering correlation and entanglement dynamics in spin chains

Engineering correlation and Engineering correlation and entanglement dynamics in spin entanglement dynamics in spin chainschains

T. S. Cubitt

J.I. Cirac

Page 2: Engineering correlation and entanglement dynamics in spin chains

•Motivation and goals•Time evolution of a chain•Correlation and entanglement wave-packets•Engineering the dynamics: solitons etc.•Fermionic gaussian state formalism•Conclusions

Engineering correlation and Engineering correlation and entanglement dynamics in spin entanglement dynamics in spin chainschains

T. S. Cubitt

J.I. Cirac

Page 3: Engineering correlation and entanglement dynamics in spin chains

Conceptual motivation: new Conceptual motivation: new experimentsexperiments

• …motivate new theoretical studies of non-equilibrium behaviour.

• New experiments…

• Many papers on correlations/entanglement of ground states• Fewer on time-dependent behaviour away from equilibrium

Page 4: Engineering correlation and entanglement dynamics in spin chains

• Many papers on correlations/entanglement of ground states.• Fewer on time-dependent behaviour away from equilibrium

Existing resultsExisting results

• In Phys. Rev. A 71, 052308 (2005), we used our entanglement rate equations to bound the time taken to entangle the ends of a length L chain.

• Left open question of whether our pL lower bound is tight.

• In J.Stat.Mech. 0504 (2005) p.010, Calabrese and Cardy investigated the time-evolution of block-entropy in spin chains.

• Bravyi, Hastings and Verstraete (quant-ph/0603121) recently used Lieb-Robinson to prove tighter, linear bound.

Page 5: Engineering correlation and entanglement dynamics in spin chains

Practical motivation: quantum repeatersPractical motivation: quantum repeaters

• “Traditional” solution to entanglement distribution:build a quantum repeater.

• But a real quantum repeater involves particle interactions, e.g. atoms in cavities.

• Alternative (e.g. Popp et al., Phys. Rev. A 71, 042306 (2005)): use entanglement in ground state:

• Getting to the ground state may be unrealistic.• Why not use non-equilibrium dynamics to distribute

entanglement?

Page 6: Engineering correlation and entanglement dynamics in spin chains

•Motivation and goals•Time evolution of a chain•Correlation and entanglement wave-packets•Engineering the dynamics: solitons etc.•Fermionic gaussian state formalism•Conclusions

T. S. Cubitt

Engineering correlation and Engineering correlation and entanglement dynamics in spin entanglement dynamics in spin chainschains

J.I. Cirac

Page 7: Engineering correlation and entanglement dynamics in spin chains

Time evolution of a spin chain (1)Time evolution of a spin chain (1)

• As an exactly-solvable example, we take the XY model…

anisotropy magnetic field

…and start it in some separable state, e.g. all spins +.

Page 8: Engineering correlation and entanglement dynamics in spin chains

• Fourier:

Time evolution of a spin chain (2)Time evolution of a spin chain (2)

• Solved by a well-known sequence of transformations:

• Bogoliubov:

• Jordan-Wigner:

Page 9: Engineering correlation and entanglement dynamics in spin chains

Time evolution of a spin chain (3)Time evolution of a spin chain (3)

• Initial state N|+i…

…is vacuum of the cl=zj-

l operators.

• Wick’s theorem: all correlation functions hxm…pni of the ground state of a free-fermion theory can be re-expressed in terms of two-point correlation functions.

• Our initial state is a fermionic Gaussian state: it is fully specified by its covariance matrix:

Page 10: Engineering correlation and entanglement dynamics in spin chains

Time evolution of a spin chain (4)Time evolution of a spin chain (4)

• Hamiltonian…

…is quadratic in x and p.

• From Heisenberg equations, can show that time evolution under any quadratic Hamiltonian:

corresponds to an orthogonal transformation of the covariance matrix:

Gaussian state stays gaussian under gaussian evolution.

Page 11: Engineering correlation and entanglement dynamics in spin chains

Time evolution of a spin chain (5)Time evolution of a spin chain (5)

• Initial state is a fermionic gaussian state in xl and pl.

• Time-evolution is a fermionic gaussian operation in xk and p

k.

Connected by Fourier and Bogoliubov transformations

• Fourier and Bogoliubov transformations are gaussian:

Page 12: Engineering correlation and entanglement dynamics in spin chains

Time evolution of a spin chain (phew!)Time evolution of a spin chain (phew!)

• Putting everything together:

xk , pkxk p

kxk p

k xk , pkxk , pk xl , pltime-evolveinitial state

Page 13: Engineering correlation and entanglement dynamics in spin chains

•Motivation and goals•Time evolution of a chain•Correlation and entanglement wave-packets•Engineering the dynamics: solitons etc.•Fermionic gaussian state formalism•Conclusions

Engineering correlation and Engineering correlation and entanglement dynamics in spin entanglement dynamics in spin chainschains

T. S. Cubitt

J.I. Cirac

Page 14: Engineering correlation and entanglement dynamics in spin chains

String correlationsString correlations

• We can get string correlations hanz

lbmi for free…

• Equations are very familiar: wave-packets with envelope S propagating according to dispersion relation .

• Given directly by covariance matrix elements, e.g.:

Page 15: Engineering correlation and entanglement dynamics in spin chains

Two-point correlationsTwo-point correlations

• Two-point connected correlation functions hznz

mi - hznihz

mi can also be obtained from the covariance matrix.

• Again get wave-packets (3 of them) propagating according to dispersion relation k.

• Using Wick’s theorem:

Page 16: Engineering correlation and entanglement dynamics in spin chains

• As with all operationally defined entanglement measures, LE is difficult to calculate in practice.

• Best we can hope for is a lower bound.

What about entanglement?What about entanglement?

• The relevant measure for entanglement distribution (e.g. in quantum repeaters) is the localisable entanglement (LE).

• Definition: maximum entanglement between two sites (spins) attainable by LOCC on all other sites, averaged over measurement outcomes.

• Popp et al., Phys. Rev. A 71, 042306 (2005) : LE is lower-bounded by any two-point connected correlation function.

• In case you missed it: we’ve just calculated this!

Page 17: Engineering correlation and entanglement dynamics in spin chains

•Motivation and goals•Time evolution of a chain•Correlation and entanglement wave-packets•Engineering the dynamics: solitons etc.•Fermionic gaussian state formalism•Conclusions

Engineering correlation and Engineering correlation and entanglement dynamics in spin entanglement dynamics in spin chainschains

T. S. Cubitt

J.I. Cirac

Page 18: Engineering correlation and entanglement dynamics in spin chains

• In particular, around =1.1, =2.0 all three wave-packets in the two-point correlation equations are nearly identical

• ! localised packets propagate at well-defined velocity with minimal dispersion: “soliton-like” behaviour

• In other parameter regimes: narrower wave-packets in nearly linear regions of dispersion relation

• ! packets maintain their coherence as they propagate

• In some parameter regimes: broad wave-packets and a highly non-linear dispersion relation

• ! correlations rapidly disperse and disappear

Correlation wave-packetsCorrelation wave-packets

Page 19: Engineering correlation and entanglement dynamics in spin chains

• In some parameter regimes: broad wave-packets and a highly non-linear dispersion relation

• ! correlations rapidly disperse and disappear: (=10, =2)

Correlation wave-packets (1)Correlation wave-packets (1)

• The system parameters and simultaneously control both the dispersion relation and form of the wave-packets.

Page 20: Engineering correlation and entanglement dynamics in spin chains

• In other parameter regimes, all three wave-packets in the two-point correlation equations are nearly identical

• ! localised packets propagate at well-defined velocity with minimal dispersion: “soliton-like” behaviour: (=1.1, =2)

Correlation/entanglement solitonsCorrelation/entanglement solitons

Page 21: Engineering correlation and entanglement dynamics in spin chains

• In general, time-ordering is essential.• But if parameters change slowly, dropping it gives

reasonable approximation.

• If we stay within “soliton” regime, adjusting the parameters only changes gradient of the dispersion relation, without significantly affecting its curvature.

• ! Can speed up and slow down the “solitons”.

Controlling the soliton velocity (1)Controlling the soliton velocity (1)

• If the parameters are changed with time,

• ! Effective evolution under time-averaged Hamiltonian.

Page 22: Engineering correlation and entanglement dynamics in spin chains

• Starting from =1.1, =2.0 and changing at rate +0.01:

Controlling the soliton velocity (2)Controlling the soliton velocity (2)

Page 23: Engineering correlation and entanglement dynamics in spin chains

• Can calculate this analytically using same machinery as before.• Resulting equations are uglier, but still separate into terms

describing multiple wave-packets propagating and interfering.

““Quenching” correlations (1)Quenching” correlations (1)

• What happens if we do the opposite: rapidly change parameters from one regime to another?

• Choose parameters so that “frozen” packets remain relatively coherent, whilst others rapidly disperse.

Get four types of behaviour for the wave-packets:• Evolution according to 1 for t1, then 2

• Evolution according to 1 for t1, then -2

• Evolution according to 1 until t1, no evolution thereafter• Evolution according to 2 starting at t1

Page 24: Engineering correlation and entanglement dynamics in spin chains

““Quenching” correlations (2)Quenching” correlations (2)

• Choose parameters so that “frozen” packets remain relatively coherent, whilst others rapidly disperse.

• ! can move correlations/entanglement to desired location, then “quench” system to freeze it there.

• E.g. =0.9, =0.5 changed to =0.1, =10.0 at t1=20.0:

Page 25: Engineering correlation and entanglement dynamics in spin chains

•Motivation and goals•Time evolution of a chain•Correlation and entanglement wave-packets•Engineering the dynamics: solitons etc.•Fermionic gaussian state formalism•Conclusions

Engineering correlation and Engineering correlation and entanglement dynamics in spin entanglement dynamics in spin chainschains

T. S. Cubitt

J.I. Cirac

Page 26: Engineering correlation and entanglement dynamics in spin chains

What about entanglement? (2)What about entanglement? (2)

• There is another LE bound we can calculate…

• Recall concurrence:

• Not a covariance matrix element because of |*i.

• Localisable concurrence:

Page 27: Engineering correlation and entanglement dynamics in spin chains

• Operators a, ay commute

• States specified by symmetric covariance matrix

• Gaussian operations $ symplectic transformations of

Bosonic case

Fermionic gaussian formalismFermionic gaussian formalism

• Recap of gaussian state formalism…

• States specified by antisymmetric covariance matrix

• Gaussian operations $ orthogonal transformations of

Fermionic case• Operators c, cy anti-commute

• What’s missing? A fermionic phase-space representation.

Page 28: Engineering correlation and entanglement dynamics in spin chains

Fermionic phase space (1)Fermionic phase space (1)

For bosons…• Eigenstates of an are coherent states: an|i = n|i• Define displacement operators: D()|vaci = |i• Characteristic function for state is: () = tr(D() )

For fermions…• Try to define coherent states: cn|i = n|i…

• …but hit up against anti-commutation: cncm|i = m n|i but cncm|i = -cmcn|i = -n m|i

• Eigenvalues anti-commute!?

• Define gaussian state to have gaussian characteristic function:

Page 29: Engineering correlation and entanglement dynamics in spin chains

Fermionic phase space (2)Fermionic phase space (2)

• Solution: expand fermionic Fock space algebra to include anti-commuting numbers, or “Grassmann numbers”, n.

• Coherent states and displacement operators now work:cncm|i = -cmcn|i = -n m|i = m n|i = cncm|i

• Grassman algebra:n m = -m n ) n

2=0; for convenience n cm = -cm n

• Grassman calculus:

• Characteristic function for a gaussian state is again gaussian:

Page 30: Engineering correlation and entanglement dynamics in spin chains

Fermionic phase space (3)Fermionic phase space (3)

• We will need another phase-space representation: the fermionic analogue of the P-representation.

• Essentially, it is a (Grassmannian) Fourier transform of the characteristic function.

• Useful because it allows us to write state in terms of coherent states:

• For gaussian states:

Page 31: Engineering correlation and entanglement dynamics in spin chains

• Finally,

What about entanglement (3)What about entanglement (3)

• Recall bound on localisable entanglement:

• Substituting the P-representation for states and * :

and expanding xn and pn in terms of cn and cn y, the calculation

becomes simple since coherent states are eigenstates of c.• Not very useful since bound 0 in thermodynamic limit N 1.

Page 32: Engineering correlation and entanglement dynamics in spin chains

• However, experimentalists are starting to build atomic analogues of quantum optical setups: e.g. atom lasers, atom beam splitters.

• Fermionic gaussian state formalism may become important as fermionic gaussian states and operations move into the lab.

Fermionic phase space (4)Fermionic phase space (4)

• Michael Wolf has used fermionic gaussian states to prove an area law for a large class of fermionic systems, in arbitrary dimensions: Phys. Rev. Lett. 96, 010404 (2006)

• Already leading to new theoretical results, e.g.:

Page 33: Engineering correlation and entanglement dynamics in spin chains

•Motivation and goals•Time evolution of a chain•Correlation and entanglement wave-packets•Engineering the dynamics: solitons etc.•Fermionic gaussian state formalism•Conclusions

Entanglement flowEntanglement flow in multipartite systems in multipartite systems

T. S. Cubitt

J.I. Cirac

Page 34: Engineering correlation and entanglement dynamics in spin chains

ConclusionsConclusions

• Have shown that correlation and entanglement dynamics in a spin chain can be described by simple physics: wave-packets.

Correlation dynamics can be engineered:• Set parameters to produce “soliton-like” behaviour• Control “soliton” velocity by adjusting parameters slowly in time• Freeze correlations at desired location by quenching the system

• Developed fermionic gaussian state formalism, likely to become more important as experimentalists are starting to do gaussian operations on atoms in the lab (atom lasers, atomic beam-splitters…).

Page 35: Engineering correlation and entanglement dynamics in spin chains

The end!