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Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud...

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Using dynamics for optical lattice Using dynamics for optical lattice simulations. simulations. Anatoli Polkovnikov, Anatoli Polkovnikov, Boston University Boston University AFOSR AFOSR Ehud Altman - Ehud Altman - Weizmann Weizmann Eugene Demler – Harvard Eugene Demler – Harvard Vladimir Gritsev – Harvard Vladimir Gritsev – Harvard Bertrand Halperin - Harvard Bertrand Halperin - Harvard Misha Lukin - Misha Lukin - Harvard Harvard gBECi and OLE/MURI Meeting gBECi and OLE/MURI Meeting
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Page 1: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Using dynamics for optical lattice simulations.Using dynamics for optical lattice simulations.

Anatoli Polkovnikov,Anatoli Polkovnikov,Boston UniversityBoston University

AFOSRAFOSR

Ehud Altman -Ehud Altman -WeizmannWeizmannEugene Demler – HarvardEugene Demler – HarvardVladimir Gritsev – HarvardVladimir Gritsev – HarvardBertrand Halperin - HarvardBertrand Halperin - HarvardMisha Lukin -Misha Lukin - HarvardHarvard

gBECi and OLE/MURI MeetinggBECi and OLE/MURI Meeting

Page 2: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Cold atoms:Cold atoms:(controlled and tunable Hamiltonians, isolation from environment)(controlled and tunable Hamiltonians, isolation from environment)

1. Equilibrium thermodynamics:1. Equilibrium thermodynamics:

Quantum simulations of equilibrium Quantum simulations of equilibrium condensed matter systemscondensed matter systems

a)a) Simulation of phases and phase-transitions for complicated Simulation of phases and phase-transitions for complicated many-particle systems.many-particle systems.

b)b) Testing various analytical and numerical approaches to Testing various analytical and numerical approaches to many-body problems.many-body problems.

c)c) Better understanding and engineering strongly correlated Better understanding and engineering strongly correlated materials.materials.

Page 3: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

2. Quantum dynamics:2. Quantum dynamics:

Quantum simulation of behavior of Quantum simulation of behavior of non-equilibrium many-body systems. non-equilibrium many-body systems.

Importance: current technology approaches quantum limits.Importance: current technology approaches quantum limits.

Challenges: Challenges: experimental:experimental: hard to realize solid state systems sufficiently hard to realize solid state systems sufficiently isolated from environment; isolated from environment; theoretical: theoretical: huge (exponentially large) Hilbert space, lack of huge (exponentially large) Hilbert space, lack of methods.methods.

Potential: Potential: • understanding fundamental problems related to integrability, understanding fundamental problems related to integrability, thermalization, quantum chaos, quantum measurement, …thermalization, quantum chaos, quantum measurement, …• using out of equilibrium effects as a tool to simulate using out of equilibrium effects as a tool to simulate equilibrium properties of interacting systems.equilibrium properties of interacting systems.

Page 4: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

This talk.This talk.

1.1. Phase diagram of a moving condensate in an Phase diagram of a moving condensate in an optical lattice.optical lattice.

2.2. Response of generic gapless systems to slow ramp Response of generic gapless systems to slow ramp of external parameters.of external parameters.

3.3. Quench dynamics in coupled one dimensional Quench dynamics in coupled one dimensional condensates.condensates.

Page 5: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Superfluid Mott insulator

Adiabatic increase of lattice potential

M. Greiner et. al., Nature (02)

What happens if there is a current in the superfluid?What happens if there is a current in the superfluid?

Page 6: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

???

p

U/J

Stable

Unstable

SF MI

p

SF MI

U/J???

possible experimental sequence: ~lattice potential

Drive a slowly moving superfluid towards MI.Drive a slowly moving superfluid towards MI.

Page 7: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

0.0

0.1

0.2

0.3

0.4

0.5

0.0 0.2 0.4 0.6 0.8 1.0

d=3

d=2

d=1

unstable

stable

U/Uc

p/

Meanfield (Gutzwiller ansatzt) phase diagram

Is there current decay below the instability?Is there current decay below the instability?

Page 8: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Role of fluctuations

Below the mean field transition superfluid current can decay via quantum tunneling or thermal decay .

E

p

Phase slip

Page 9: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Related questions in superconductivity

Reduction of TC and the critical current in superconducting wires

Webb and Warburton, PRL (1968)

Theory (thermal phase slips) in 1D:

Langer and Ambegaokar, Phys. Rev. (1967)McCumber and Halperin, Phys Rev. B (1970)

Theory in 3D at small currents:

Langer and Fisher, Phys. Rev. Lett. (1967)

Page 10: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

1D System.

5/ 2

exp 7.12

JNp

U

N~1

Large N~102-103

7.1 – variational result

JNU

semiclassical parameter (plays the role of 1/ )

Fallani et. al., 2004

Experiment: C.D. Fertig et. al., 2004

Numerical prediction: A.P. & D.-W. Numerical prediction: A.P. & D.-W. Wang, 2003Wang, 2003

Page 11: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Higher dimensions.

Longitudinal stiffness is much smaller than the transverse.

Need to excite many chains in order to create a phase slip.

12

r p

|| cos ,J J p

J J

r

Page 12: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

6

2

2

d

d d

JNS C p

U

Phase slip tunneling is more expensive in higher dimensions:

expd dS

Stability phase diagram

3dS

Crossover1 3dS

Stable

1dS Unstable

Page 13: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

0.0

0.1

0.2

0.3

0.4

0.5

0.0 0.2 0.4 0.6 0.8 1.0

unstable

stable

U/Uc

p/

Current decay in the vicinity of the superfluid-insulator transition

5

23

1 3 , expd

dd dd

CS p S

3.43 S

Discontinuous change of the decay rate across the mean field transition. Phase diagram is well defined in 3D!

Large broadening in one and two dimensions.Large broadening in one and two dimensions.

Page 14: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Detecting equilibrium SF-IN transition boundary in 3D.

p

U/J

Superfluid MI

Extrapolate

At nonzero current the SF-IN transition is irreversible: no restoration of current and partial restoration of phase coherence in a cyclic ramp.

Easy to detect nonequilibrium Easy to detect nonequilibrium irreversible transition!!irreversible transition!!

Page 15: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

J. Mun, P. Medley, G. K. Campbell, L. G. Marcassa, D. E. Pritchard, W. Ketterle, 2007

Page 16: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Adiabatic process.Adiabatic process.

Assume no first order phase transitions.Assume no first order phase transitions.

Adiabatic theorem:Adiabatic theorem:

““Proof”:Proof”: thenthen

Page 17: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Adiabatic theorem for integrable systems.Adiabatic theorem for integrable systems.

Density of excitationsDensity of excitations

Energy density (good both for integrable and nonintegrable Energy density (good both for integrable and nonintegrable systems:systems:

EEBB(0) is the energy of the state adiabatically connected to (0) is the energy of the state adiabatically connected to

the state A. the state A. For the cyclic process in isolated system this statement For the cyclic process in isolated system this statement implies no work done at small implies no work done at small ..

Page 18: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Adiabatic theorem in quantum mechanicsAdiabatic theorem in quantum mechanics

Landau Zener process:Landau Zener process:

In the limit In the limit 0 transitions between 0 transitions between different energy levels are suppressed.different energy levels are suppressed.

This, for example, implies reversibility (no work done) in a This, for example, implies reversibility (no work done) in a cyclic process.cyclic process.

Page 19: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Adiabatic theorem in QM Adiabatic theorem in QM suggestssuggests adiabatic theorem adiabatic theorem in thermodynamics:in thermodynamics:

Is there anything wrong with this picture?Is there anything wrong with this picture?

HHint: low dimensions. Similar to Landau expansion in the int: low dimensions. Similar to Landau expansion in the order parameter.order parameter.

1.1. Transitions are unavoidable in large gapless systems.Transitions are unavoidable in large gapless systems.

2.2. Phase space available for these transitions decreases with Phase space available for these transitions decreases with Hence expectHence expect

Page 20: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

More specific reason.More specific reason.

Equilibrium: high density of low-energy states Equilibrium: high density of low-energy states

•strong quantum or thermal fluctuations, strong quantum or thermal fluctuations, •destruction of the long-range order,destruction of the long-range order,•breakdown of mean-field descriptions, breakdown of mean-field descriptions,

Dynamics Dynamics population of the low-energy states due to finite rate population of the low-energy states due to finite rate breakdown of the adiabatic approximation.breakdown of the adiabatic approximation.

Page 21: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Three regimes of response to the slow ramp:Three regimes of response to the slow ramp:

A.A. Mean field (analytic) – high dimensions: Mean field (analytic) – high dimensions:

B.B. Non-analytic – low dimensionsNon-analytic – low dimensions

C.C. Non-adiabatic – lower dimensionsNon-adiabatic – lower dimensions

Page 22: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Example: crossing a QCP.Example: crossing a QCP.

tuning parameter tuning parameter

gap

gap t, t, 0 0

Gap vanishes at the transition. Gap vanishes at the transition. No true adiabatic limit!No true adiabatic limit!

How does the number of excitations scale with How does the number of excitations scale with ? ?

(A.P. 2003)(A.P. 2003)

Transverse field Ising model (A.P. 2003, W. HTransverse field Ising model (A.P. 2003, W. H. . Zurek, U. Zurek, U. Dorner, P. Zoller 2005, J. Dziarmaga 2005).Dorner, P. Zoller 2005, J. Dziarmaga 2005).

exn

Page 23: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Possible breakdown of the Fermi-Golden rule (linear Possible breakdown of the Fermi-Golden rule (linear response) scaling due to bunching of bosonic excitations.response) scaling due to bunching of bosonic excitations.

)( 2qq sq

Example: harmonic system (e.g. superfluid)Example: harmonic system (e.g. superfluid)

Zero temperature. Start from noninteracting Bose gas) Zero temperature. Start from noninteracting Bose gas)

Page 24: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Finite temperatures.Finite temperatures.

d=1,2d=1,2 Non-adiabatic regime!Non-adiabatic regime!

Non-analytic regime!Non-analytic regime!

Numerical verification (bosons on a lattice).Numerical verification (bosons on a lattice).

Use expansion in quantum fluctuations to do large scale Use expansion in quantum fluctuations to do large scale precise numerical simulations (TWA + corrections).precise numerical simulations (TWA + corrections).

Page 25: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

3/13/4 LTE 2/1E

Results.Results.

Page 26: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

T=0.02T=0.02

3/13/4 LTE

Page 27: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

0 20 40 60 800.0

0.2

0.4

0.6

0.8

1.0

t=0 t=3.2/ t=12.8/ t=28.8/ t=51.2/ t=80/ Thermall

a ja 0

L/ sin(j/L)

Correlation Functions

Thermalization at long times.Thermalization at long times.

Page 28: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

2D, T=0.22D, T=0.2

3/13/1 LTE

Page 29: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Quench experiments in 1D and 2D systems:Quench experiments in 1D and 2D systems:

T. Schumm . et. al., Nature Physics 1, 57 - 62 (01 Oct 2005)

Study dephasing as a function of time. What sort of Study dephasing as a function of time. What sort of information can we get?information can we get?

Page 30: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Analyze dynamics of phase coherence:Analyze dynamics of phase coherence:

1 2( ( ) ( )) ( )( ) e ei t t i tf t

Idea: extract energies of excited states Idea: extract energies of excited states and thus go beyond static probes.and thus go beyond static probes.

Relevant Sine-Gordon model (many applications in CM):Relevant Sine-Gordon model (many applications in CM):

Page 31: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Analogy with a Josephson junction.Analogy with a Josephson junction.EE

nn

Higher breathersHigher breathersLowest breathers: Lowest breathers: massive quasiparticlesmassive quasiparticles

SimulationsSimulations

0 10 20 30 40 500.80

0.85

0.90

0.95

1.00N=1, U=0.5, J=1

Pha

se C

oher

ence

Time

Hubbard model, 2x6 sitesHubbard model, 2x6 sites

0.0 0.2 0.4 0.60.00

0.01

0.02

0.03

0.04

0.05

0.06N=1, U=0.5, J=1, J=0.1, M=6

Po

we

r S

pe

ctru

m

Frequency

bb0202

bb2424

bb4646 bb0404bb26262b2b0101 2b2b0202

Page 32: Using dynamics for optical lattice simulations. Anatoli Polkovnikov, Boston University AFOSR Ehud Altman -Weizmann Eugene Demler – Harvard Vladimir Gritsev.

Conclusions.Conclusions.

1.1. Phase diagram of a moving superfluid in optical lattices:Phase diagram of a moving superfluid in optical lattices:a)a) Quantum (and thermal) phase slips in low dimensions.Quantum (and thermal) phase slips in low dimensions.b)b) Accurate probe of the equilibrium phase diagram in Accurate probe of the equilibrium phase diagram in

high dimensions.high dimensions.

2.2. Slow dynamics in gapless systems:Slow dynamics in gapless systems:a)a) universal response near second-order phase transitions universal response near second-order phase transitions

(critical exponents, KZ mechanism, …).(critical exponents, KZ mechanism, …).b)b) possible breaking of the adiabatic limit in low possible breaking of the adiabatic limit in low

dimensions. It is crucial to have large scale isolated dimensions. It is crucial to have large scale isolated systems for experimental verification.systems for experimental verification.

3.3. Possibility of probing spectral properties of integrable and Possibility of probing spectral properties of integrable and weakly non-integrable models in quench experiments.weakly non-integrable models in quench experiments.


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