Files
2019-12-15 14:06:49 +01:00

45 lines
1.2 KiB
Python

import scipy as scipy
import scipy.special as special
import numpy as np
import itertools as it
from pandas import *
import matplotlib.pylab as plt
from scipy.integrate import ode
import time
def unique_rows(a):
a = np.ascontiguousarray(a)
unique_a = np.unique(a.view([('', a.dtype)]*a.shape[1]))
return unique_a.view(a.dtype).reshape((unique_a.shape[0], a.shape[1]))
def hamiltonian(n_pairs,n_basis,delta,g):
"""
n_pairs - Number of electron pairs
n_basis - Number of spacial basis states
Returns - The hamiltonian and the reference energy
"""
n_SD = int(special.binom(n_basis,n_pairs))
H_mat = np.zeros((n_SD,n_SD))
S = stateMatrix(n_pairs,n_basis)
for row in range(n_SD):
bra = S[row,:]
for col in range(n_SD):
ket = S[col,:]
if np.sum(np.equal(bra,ket)) == bra.shape:
H_mat[row,col] += 2*delta*np.sum(bra - 1) - 0.5*g*n_pairs
if n_pairs - np.intersect1d(bra,ket).shape[0] == 1:
H_mat[row,col] += -0.5*g
return(H_mat,H_mat[0,0])
def stateMatrix(n_pairs,n_basis):
L = []
states = range(1,n_basis+1)
for perm in it.permutations(states,n_pairs):
L.append(perm)
L = np.array(L)
L.sort(axis=1)
L = unique_rows(L)
return(L)