Real-Time Diagrammatic Monte Carlo for Non-Equilibrium Quantum Transport
Marco Schir`
- 1 and Michele Fabrizio1,2
1SISSA & Democritos
Real-Time Diagrammatic Monte Carlo for Non-Equilibrium Quantum - - PowerPoint PPT Presentation
Real-Time Diagrammatic Monte Carlo for Non-Equilibrium Quantum Transport o 1 and Michele Fabrizio 1 , 2 Marco Schir` 1 SISSA & Democritos 2 ICTP Quantum Transport from Macro to Nano How do we measure the current I flowing through a
1SISSA & Democritos
◮ How do we measure the current I flowing through a macroscopic sample? ◮ Conductance is defined by Ohm’s law
◮ What is the conductance of a single molecule?
◮ Experiments can bridge small quantum objects to conducting leads
◮ Experiments measure I −V characteristics and conductance dI/dV as a
Park et al., Nature (2000) ◮ Very sensitive probes to local many body interactions (→ Meir-Wingreen)
◮ e.g. Coulomb Blockade, Kondo Effect
◮ Transport at finite bias requires a full out-of-equilibrium description
◮ Electrons in the leads are non-interacting (Landau-Fermi-Liquid)
◮ Dot/Molecule has a small set of discrete levels
◮ Electrons in the leads are non-interacting (Landau-Fermi-Liquid)
◮ Dot/Molecule has a small set of discrete levels
N.J.Tao, Nature Nanotechnology (2006)
◮ Tunneling to the leads → Γα = π V 2 α ρ(εF) ◮ Local energy scales:
◮ Molecular Level spacing, Vibrational frequency → ε0,ω0 ◮ Local many-body interactions → Coulomb repulsion, electron-vibron coupling
◮ External control parameters → Bias V , gate voltage Vg, Temperature T
◮ Zero-bias conductance is related to the equilibrium spectral-function
van der Wiel et al., Science(2002)
see e.g. → Pustilnik, Glazman (2004)
◮ Numerical Renormalization Group ◮ Bethe-Ansatz, Integrability, Boundary-CFT ◮ Diagrammatic MonteCarlo (→ see e.g. P. Werner, A. Millis (2006))
Meir, Wingreen PRL (1992)
◮ Averages taken over the non-equilibrium steady-state (= the ground state!) ◮ Out-of-Equilibrium both the spectrum and the statistics are needed ◮ Real-Time Dynamics is a possible route
◮ Keldysh perturbation theory
◮ Bethe Ansatz for Open Quantum Systems
◮ Time-dependent NRG
◮ Iterative/Stochastic Summation of Real-Time Path Integrals
◮ Real-Time Diagrammatic MonteCarlo on the Keldysh Contour
QI
L R
◮ Initial Condition, t = 0
QI
L R
◮ Real-Time Dynamics, t > 0
QI
L R
◮ Real-Time Dynamics, t > 0
t
0 dτH(τ)
◮ Following the dynamics from the initial condition we may access both to
◮ Due to the bias in the long-time limit the system will reach a non-equilibrium
◮ How do we compute real-time averages?
◮ Real-time dynamics can be formulated along the Keldysh contour CK
◮ Real-time dynamics can be formulated along the Keldysh contour CK
◮ Real-time dynamics can be formulated along the Keldysh contour CK
◮ At any order n in Htun we can integrate-out exactly electrons in the leads
◮ Real-time dynamics can be formulated along the Keldysh contour CK
◮ At any order n in Htun we can integrate-out exactly electrons in the leads
◮ Example: Second Order
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Basic diag-MC updates
◮ Adding/Removing/Shifting vertex on the contour ◮ Accept/Reject by standard Metropolis
◮ Real-time quantum average written as a sum over diagrams along the contour
◮ Basic diag-MC updates
◮ Adding/Removing/Shifting vertex on the contour ◮ Accept/Reject by standard Metropolis
0.5 1.0 1.5 2
0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
eV = 0 eV = 4 Γ eV = 8 Γ
0 0.25 0.5 0.75 1.0 1.25 1.5
0.5 1 1.5
eV = 1.5 Γ eV = 1.0 Γ eV = 0.75 Γ eV =0.5 Γ
0.5 1.0 1.5
0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
U = 8Γ, eV = 2.0 Γ U = 4Γ, eV = 0.1 Γ
0 0.25 0.5 0.75 1.0 1.25 1.5
0.5 1 1.5
U = 4Γ, eV = 0.1Γ U = 8Γ, eV = 2Γ
◮ Charge degrees of freedom relax on short-time scales ◮ A large bias eV ≫ TK cuts-off Keldysh evolution → dI dV ∼ 1/log2(eV /TK) ◮ An exp-long-time controls the low-bias conductance
5 10 15
0,1 0,2 0,3 0,4
Γ t = 0.5 Γt = 1.0 Γt=1.5 Γ t=2.0
5 10 15
0,05 0,1 0,15 0,2
Γ t=2.0 U=0 Γt = 2.0 U=4Γ
◮ k ∼ Γt , independently of U ←
◮ For a finite quantum system Trloc[....] it’s a pure phase!
◮ Numerically exact method (no truncations), infinite size limit ◮ Direct access to Current, Conductance, Impurity Green’s Function ◮ Solve a Quantum Impurity Model for a given ∆(τ,τ′) → Noneq-DMFT
◮ Lack of renormalization in the hystogram severely limits max time ◮ Starting point is too far from strong-coupling steady-state
QI
L R
◮ A simple model of molecular-conductor
◮ Electron-Vibron Coupling affects dI/dV spectrum ◮ Lowest order e-ph perturbation theory predicts sharp jump in dI/dV at
◮ Point Contact Spectroscopy reveals a smoother behaviour and a tiny jump
1.8 1.9 2.0 2.1 2.2
0.73 0.735 0.74 0.745 0.75
εd = 1.0 1.7 1.8 1.9 2.0 2.1 2.2 2.3
0.3 0.305 0.31 0.315 0.32
εd = 3.0
◮ Step-Down to Step-Up crossover when εd is tuned across G(V = 0) = 1/2 ◮ Non-Perturbative effects act to broaden the feature