Presentation is loading. Please wait.

Presentation is loading. Please wait.

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

Similar presentations


Presentation on theme: "Tunneling in Complex Systems: From Semiclassical Methods to Monte Carlo simulations Joachim Ankerhold Theoretical condensed matter physics University of."— Presentation transcript:

1 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

2 Barrier transmission: Scattering

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

4 Alpha-Decay (Gamow)

5 Tunneling rate: Density of states Probability distribution Incoherent tunneling from a reservoir Total rate:

6 Scanning tunneling microscope SiC (0001) 3  3 surface Tip Sample

7 x 0 d Tunneling current (Temperature = 0) Tunneling resistance: Tunneling resistance Exponential sensitivity

8 Tunneling in NH 3 x Friedrich Hund 1926:

9 Coherent tunneling H N H H E[1/cm] Energy doublets

10 Incoherent tunneling in presence of a dissipative environment

11 Example: Josephson-junction phase difference V( j ) Applied current: Potential energy: (Josephson 1961) Particle in a periodic potential

12 Macroscopic quantum tunneling phase difference Tunneling of a collective degree of freedom Squids Vortices Nanomagnets Superfluids Bose-Einstein Condensates potential energy

13 1 m m Environment: Electromagnetic modes Groupe Quantronique, CEA Saclay

14 Decay rate of metastable systems Tunneling rate in presence of thermal environment: (Leggett et al) Decay channels: thermal activation quantum tunneling

15 Open quantum systems ++ System + reservoir: reduced density

16 Path integrals Feynman: “Sum over all paths“

17 Path integrals Feynman: “Sum over all paths“ Density matrix:

18 Influence functional Influence functional: describes interaction with environment Path integral in imaginary time:

19 Semiclassics: Periodic orbits in the inverted barrier with period | wellbarrier Thermal activation

20 Semiclassics: Periodic orbits in the inverted barrier with period | wellbarrier | wellbarrier Quantum tunnelingThermal activation

21 Devoret et al, 1988 Experiment

22 Thermal activation Quantum tunneling Experiment

23 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

24 Tunneling of a qubit: Crossing of surfaces ? Flip: Smaller barrier larger rate ? 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)

25 Tunneling in the system and Tunneling in the phonon environment

26 Large Molecules: Photosynthesis 2 nm

27 Photosynthesis: Reaction center 2 nm

28 Photosynthesis: Reaction center Electron transfer fast: ~ 3ps efficient: 95% 2 nm

29 „Bottom up“ instead of „top down“: Molecular electronics Reed et al, 2002

30 Classical Marcus theory + + + + + Polar environment: Fluctuating polarization electronic tunnelingactivation energy Marcus et al, 1985

31 Classical Marcus theory + + + + + Polar environment: Fluctuating polarization electronic couplingactivation energy Low T: Nuclear tunneling

32 Open quantum systems: Nonequilibrium dynamics ++ System + reservoir: reduced dynamics

33 Reduced dynamics paths Path integrals: Paths in real and imaginary time

34 Reduced dynamics paths Influence functional: self-interactions non-local in time In general no simple equation of motion ! Mak, Egger, JCP 1995; Mühlbacher & JA, JCP 2004, 2005

35 Redfield-Equation 2. order perturbation theory in coupling  powerful method for many chemical systems  numerically efficient  weak friction, higher temperatures  sufficiently fast bath modes

36 How to evaluate high-dimensional integrals? Monte Carlo: Stochastic evaluation (numerically exact) MC weight Distributed according to MC weight ( K >> 1 )

37 Electron transfer along molecular wires: Tight binding system Davis, Ratner et al, Nature 1998 D A In general: d localized states

38 Real-time Quantum Monte Carlo Dicretization of time (Trotter)

39 Real-time Quantum Monte Carlo System: d orthonormal states At each time step: d different configurations possible d-possible orientations at each time step= configurations

40 Real-time Quantum Monte Carlo System: d orthonormal states At each time step: d different configurations possible Important sampling over spin chains Convergence:

41 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

42 Coherent / Incoherent dynamics

43 Assembling of molecular wires Davis, Ratner et al, Nature 1998 D A Not an ab initio method: Structure Dynamics

44 Population dynamics:

45 Molecular wire: Diffusion versus Superexchange qm class

46 Molecular wire: Phonon tunneling vs. Superexchange Mayor et al, Angew. Chemie 2002 Mühlbacher & JA, JCP 122, 184715 (2005) qm class

47 Park et al, Science 2002 Tunneling in presence of Charging effects: Coulomb-blockade

48 Quantum dots: artificial molecules

49 Dissipative Hubbard system Two charges with opposite spin: Polarization operator

50 Non-Boltzmann equilibrium Charges on same site U > 0 Charges on different sites ???

51 Non-Boltzmann equilibrium Mühlbacher, JA, Komnik, PRL 95, 220404 (2005)

52 Non-Boltzmann equilibrium Mühlbacher, JA, Komnik, PRL 95, 220404 (2005) Invariant subspace bosons „Coherent“ channels for faster transfer

53 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. Mühlbacher M. Duckheim H. Lehle M. Saltzer Thanks


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

Similar presentations


Ads by Google