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Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of Freiburg Germany „Challenges in Material Sciences“ Hanse-Kolleg, February 16/17, 2006

Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

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Page 1: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Tunneling in Complex Systems: From Semiclassical Methods to Monte

Carlo simulations

Joachim AnkerholdTheoretical condensed matter physics

University of FreiburgGermany

„Challenges in Material Sciences“Hanse-Kolleg, February 16/17, 2006

Page 2: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

( )R E( )T E

2 2 2 ( ) /out

in

( )( ) ( ) e

( )bm V E Lj E

T E t Ej E

L

bV

:bV E

Barrier transmission: Scattering

1R T e e eikx ikx ikxr t

Page 3: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

L

inv2 ( ) / ( ) /( ) e e

dx m V E p x dxT E

Semiclassics (WKB):Action of a periodic path in the inverted barrier with Energy -E

( ) ( )V x V x

Equivalent: inv( ) 2 [ ( )] ( ) ( )p x m E V x i p x ip x

Page 4: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

A A-4 * 4Z Z-2 2X Y He E

Alpha-Decay (Gamow)

42 He

Page 5: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

R

L

outpop

1 ( )dE j E

Z

Tunneling rate:

Density of statesProbability distribution

Incoherent tunneling from a reservoir

out out( ) ( ) v ( ) ( ) ( )j E T E E E P E

Total rate:

Page 6: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Scanning tunneling microscope

SiC (0001) 33 surface

Tip

Sample

Page 7: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

0V

x0 d

Tunneling current (Temperature = 0)

( ) v( ) ( , 0)F

F

E

E eV

I e dE T E E E x

( )T

VI

R d

02 2 /1( , 0) v e

( )d mV

F FT

e E xR d

Tunneling resistance:

Tunneling resistance

Exponential sensitivity

Page 8: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Tunneling in NH3

x

Friedrich Hund 1926:Friedrich Hund 1926:

Page 9: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Coherent tunneling

H

N

H

H

/ 2 / 2 0 ,

/ 2 0 / 2

10 0 0

21

0 0 02

a L R

s L R

E[1/cm] Energy doublets

0

0 ,

L

R

Page 10: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Incoherent tunneling

in presence of a dissipative environment

Page 11: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Example: Josephson-junction

RL

phase difference

V()

Applied current:

Potential energy:

(Josephson 1961)

Particle in a periodic potential

Page 12: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Macroscopic quantum tunneling

phase difference

Tunneling of a collective degree of freedom

• Squids• Vortices• Nanomagnets• Superfluids• Bose-Einstein Condensates

potential energy

Page 13: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

1m

Environment: Electromagnetic modes

Groupe Quantronique, CEA Saclay

Page 14: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Decay rate of metastable systems

FIm

Tunneling rate in presence of thermal environment:

(Leggett et al)

1lnF Z

Decay channels:

thermal activation

quantum tunneling

2

/ 2

e n

n n n

tn

E i

Page 15: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Open quantum systems

, ( )T J

SH + IH RH+

System + reservoir: reduced density

R

1Tr e H

Z

Page 16: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Path integrals

Feynman: ( )

//

(0)

e ef

i

q t qiS qiHt

f i

q q

q q D q

iq

fq

mt /

“Sum over all paths“

Page 17: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Path integrals

Feynman: ( )

//

(0)

e ef

i

q t qiS qiHt

f i

q q

q q D q

iq

fq

mt /

“Sum over all paths“

itH :e Density matrix:

Page 18: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Influence functional

[ ]/ [ ]/

periodicorbits ininterval

[ ] e eES q qZ D q

Influence functional:describes interactionwith environment

RTr

, 1/ c

, ( )T J ( )q ( )q

Path integral in imaginary time:

Page 19: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Semiclassics:

Periodic orbits in the inverted barrier with period

q|

well barrier

02 /

0 e2

bVcl

Thermal activation

Page 20: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Semiclassics:

Periodic orbits in the inverted barrier with period

q

)(qV

|

well barrier

q|

well barrier

02 / 02 /

0 e2

bVcl

/0 e

2BS

q

Quantum tunnelingThermal activation

Page 21: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

|Ln( ) |

const

Devoret et al,1988

Experiment

Page 22: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

|Ln( ) |

const

Thermal activation

Quantum tunneling

Experiment

Page 23: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Rate processes

Rate theory in JJ equivalent to rate theory for

chemical reactions

diffusion of interstitials in metals

collaps of BECs with attractive interactions

proton transfer

JJ as detectors for: read-out in quantum bit devices measurement of non-Gaussian electrical noise

Page 24: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Tunneling of a qubit: Crossing of surfaces

?

Flip: Smaller barrier larger rate ?

2

2

( )2

( )2

pV

mHp

Vm

Landau-Zener transitions „under“ the barrier: MQT of a Spin

JA et al, PRL 91, 016803 (2003)Vion et al & JA, PRL 94, 057004 (2005)

Page 25: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Tunneling in the system and

Tunneling in the phonon environment

Page 26: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Large Molecules: Photosynthesis

2 nm

Page 27: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Photosynthesis: Reaction center

2 nm

Page 28: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Photosynthesis: Reaction center

Electron transfer

fast: ~ 3ps

efficient: 95%

2 nm

Page 29: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

„Bottom up“ instead of „top down“: Molecular electronics

Reed et al, 2002

Page 30: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Classical Marcus theory

++

+

+

+Polar environment:Fluctuating polarization

2 e

electronic tunnelingactivation energy

Marcus et al, 1985

Page 31: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Classical Marcus theory

++

+

+

+Polar environment:Fluctuating polarization

2 e

electronic coupling activation energy

Low T: Nuclear tunneling

Page 32: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Open quantum systems: Nonequilibrium dynamics

, ( )T J

SH + IH RH+

System + reservoir: reduced dynamics

/ /R

1( ) Tr e (0) eiHt iHtt W

Z

Page 33: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

ts

Reduced dynamics

( , )D A t paths

Path integrals: Paths in real and imaginary time

' ' ' ' '( , , ) ( , , , , ) ( , ,0)f f i i f f i i i iq q t dq dq J q q t q q q q

Page 34: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

ts

Reduced dynamics

( , )D A t paths

Influence functional: self-interactions non-local in time

In general no simpleequation of motion !

Mak, Egger, JCP 1995; Mühlbacher & JA, JCP 2004, 2005

,1/ c

Page 35: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Redfield-Equation

)()(,)( 2 ttH

i

dt

tdS

R

2. order perturbation theory in coupling

powerful method for many chemical systems

numerically efficient

weak friction, higher temperatures

sufficiently fast bath modes

Page 36: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

How to evaluate high-dimensional integrals?

MC

P

K

kk

N fxfK

xPxfxd 1

)(1

)()(

Monte Carlo: Stochastic evaluation (numerically exact)

MC weight

Distributed according to MC weight

(K >> 1)

Page 37: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Electron transfer along molecular wires: Tight binding system

Davis, Ratner et al, Nature 1998

D A

In general: d localized states

Page 38: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Real-time Quantum Monte Carlo

Dicretization of time (Trotter)

t N

/ / /e e ... e , /iHt iH iH t N

Page 39: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Real-time Quantum Monte Carlo

t N

System: d orthonormal states

At each time step: d different configurations possible

d-possible orientations at each time step= configurationsNd 153, 30 10d N

Page 40: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Real-time Quantum Monte Carlo

t N

System: d orthonormal states

At each time step: d different configurations possible

Important sampling over spin chains

Tr ( )( )

Tr ( )

A tA t

t

i i is P s G s

distr.

distr.

i iP

iP

A s G s

G s

53, 30 10d N Convergence:

Page 41: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Real-time Quantum Monte Carlo

Integrand oscillates: Dynamical sign problem

Treat subspace exactly: Reduction of Hilbert space to be sampled

Mak et al, PRB 50, 15210 (1994); Mühlbacher & JA, JCP 121, 12696 (2004); ibid 122, 184715 (2005)

Quantum mechanicslives from interferences !

Wave mechanics lives from interferences

Page 42: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Coherent / Incoherent dynamics

0.1

0.75

1

1

300 cm

0...4500 cm

T 300 ...60 K

20simt

Page 43: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Assembling of molecular wires

Davis, Ratner et al, Nature 1998

D ANot an ab initio method: Structure Dynamics

Page 44: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Population dynamics:

I

Page 45: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Molecular wire: Diffusion versus Superexchange

I

0.5

/I

qmclass

Page 46: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Molecular wire: Phonon tunneling vs. Superexchange

Mayor et al, Angew. Chemie 2002Mühlbacher & JA, JCP 122, 184715 (2005)

0.5

/I

qmclass

Page 47: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Park et al, Science 2002

Tunneling in presence of Charging effects:

Coulomb-blockade

3+Co 2+Co

Page 48: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Quantum dots: artificial molecules

Page 49: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Dissipative Hubbard system

Two charges with opposite spin:

0

†0 1

, ,

ˆ ˆ ˆ ˆ ˆ ( . .)

ˆ

I R

S S

k k k k k jk S k j S

I

H H H H

H n a a h c U n n

H P c X

Polarization operator

Page 50: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Non-Boltzmann equilibrium

Charges on same site U > 0

Charges on different sites

???

Page 51: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Non-Boltzmann equilibrium

Mühlbacher, JA, Komnik, PRL 95, 220404 (2005)

0U

0U

Page 52: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Non-Boltzmann equilibrium

Mühlbacher, JA, Komnik, PRL 95, 220404 (2005)

0U Invariant subspace

bosons

„Coherent“ channels for faster transfer

0 0, 0H

Page 53: Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of

Summary and Conclusions

Nanosystems show a variety of tunneling phenomena

Strongly influenced by the surrounding

Semiclassics: very successful for mesoscopics

Exact reduced dynamics: Real-time Monte Carlo

L. MühlbacherM. DuckheimH. LehleM. Saltzer

Thanks