Forked from
kwant / kwant
749 commits behind the upstream repository.
-
Uses the new conservation law and discrete symmetry interface to Builder, and illustrates the separation of the scattering matrix into blocks depending on conservation law eigenvalue.
Uses the new conservation law and discrete symmetry interface to Builder, and illustrates the separation of the scattering matrix into blocks depending on conservation law eigenvalue.
superconductor.py 4.55 KiB
# Tutorial 2.6. "Superconductors": orbitals, conservation laws and symmetries
# ===========================================================================
#
# Physics background
# ------------------
# - conductance of a NS-junction (Andreev reflection, superconducting gap)
#
# Kwant features highlighted
# --------------------------
# - Implementing electron and hole ("orbital") degrees of freedom
# using conservation laws.
# - Use of discrete symmetries to relate scattering states.
import kwant
import tinyarray
import numpy as np
# For plotting
from matplotlib import pyplot
tau_x = tinyarray.array([[0, 1], [1, 0]])
tau_y = tinyarray.array([[0, -1j], [1j, 0]])
tau_z = tinyarray.array([[1, 0], [0, -1]])
#HIDDEN_BEGIN_nbvn
def make_system(a=1, W=10, L=10, barrier=1.5, barrierpos=(3, 4),
mu=0.4, Delta=0.1, Deltapos=4, t=1.0, phs=True):
# Start with an empty tight-binding system. On each site, there
# are now electron and hole orbitals, so we must specify the
# number of orbitals per site. The orbital structure is the same
# as in the Hamiltonian.
lat = kwant.lattice.square(norbs=2)
syst = kwant.Builder()
#### Define the scattering region. ####
# The superconducting order parameter couples electron and hole orbitals
# on each site, and hence enters as an onsite potential.
# The pairing is only included beyond the point 'Deltapos' in the scattering region.
syst[(lat(x, y) for x in range(Deltapos) for y in range(W))] = (4 * t - mu) * tau_z
syst[(lat(x, y) for x in range(Deltapos, L) for y in range(W))] = (4 * t - mu) * tau_z + Delta * tau_x
# The tunnel barrier
syst[(lat(x, y) for x in range(barrierpos[0], barrierpos[1])
for y in range(W))] = (4 * t + barrier - mu) * tau_z
# Hoppings
syst[lat.neighbors()] = -t * tau_z
#HIDDEN_END_nbvn
#HIDDEN_BEGIN_ttth
#### Define the leads. ####
# Left lead - normal, so the order parameter is zero.
sym_left = kwant.TranslationalSymmetry((-a, 0))
# Specify the conservation law used to treat electrons and holes separately.
# We only do this in the left lead, where the pairing is zero.
lead0 = kwant.Builder(sym_left, conservation_law=-tau_z, particle_hole=tau_y)
lead0[(lat(0, j) for j in range(W))] = (4 * t - mu) * tau_z
lead0[lat.neighbors()] = -t * tau_z
#HIDDEN_END_ttth
#HIDDEN_BEGIN_zuuw
# Right lead - superconducting, so the order parameter is included.
sym_right = kwant.TranslationalSymmetry((a, 0))
lead1 = kwant.Builder(sym_right)
lead1[(lat(0, j) for j in range(W))] = (4 * t - mu) * tau_z + Delta * tau_x
lead1[lat.neighbors()] = -t * tau_z
#### Attach the leads and return the system. ####
syst.attach_lead(lead0)
syst.attach_lead(lead1)
return syst
#HIDDEN_END_zuuw
#HIDDEN_BEGIN_jbjt
def plot_conductance(syst, energies):
# Compute conductance
data = []
for energy in energies:
smatrix = kwant.smatrix(syst, energy)
# Conductance is N - R_ee + R_he
data.append(smatrix.submatrix((0, 0), (0, 0)).shape[0] -
smatrix.transmission((0, 0), (0, 0)) +
smatrix.transmission((0, 1), (0, 0)))
#HIDDEN_END_jbjt
pyplot.figure()
pyplot.plot(energies, data)
pyplot.xlabel("energy [t]")
pyplot.ylabel("conductance [e^2/h]")
pyplot.show()
#HIDDEN_BEGIN_pqmp
def check_PHS(syst):
# Scattering matrix
s = kwant.smatrix(syst, energy=0)
# Electron to electron block
s_ee = s.submatrix((0,0), (0,0))
# Hole to hole block
s_hh = s.submatrix((0,1), (0,1))
print('s_ee: \n', np.round(s_ee, 3))
print('s_hh: \n', np.round(s_hh[::-1, ::-1], 3))
print('s_ee - s_hh^*: \n',
np.round(s_ee - s_hh[::-1, ::-1].conj(), 3), '\n')
# Electron to hole block
s_he = s.submatrix((0,1), (0,0))
# Hole to electron block
s_eh = s.submatrix((0,0), (0,1))
print('s_he: \n', np.round(s_he, 3))
print('s_eh: \n', np.round(s_eh[::-1, ::-1], 3))
print('s_he + s_eh^*: \n',
np.round(s_he + s_eh[::-1, ::-1].conj(), 3))
#HIDDEN_END_pqmp
def main():
syst = make_system(W=10)
# Check that the system looks as intended.
kwant.plot(syst)
# Finalize the system.
syst = syst.finalized()
# Check particle-hole symmetry of the scattering matrix
check_PHS(syst)
# Compute and plot the conductance
plot_conductance(syst, energies=[0.002 * i for i in range(-10, 100)])
# Call the main function if the script gets executed (as opposed to imported).
# See <http://docs.python.org/library/__main__.html>.
if __name__ == '__main__':
main()