def calculate_and_save():
quant = state_quantifier(number_of_spins)
ground_states = []
for i,B in enumerate(B_list):
print i
calc = ising_calculator_FM(number_of_spins, alpha, B)
H = calc.get_H()
energy,groundstate = H.groundstate()
ground_states.append(groundstate)
sx,sy,sz = quant.get_reduced_dms(ground_states, spin = 0)
np.save('magnetization_array_one_spin_{}'.format(number_of_spins), (B_list,sx,sy,sz))
def calculate_and_save():
magnetization_array = np.empty_like(B_list)
quant = state_quantifier(number_of_spins)
for i,B in enumerate(B_list):
print i
calc = ising_calculator_FM(number_of_spins, alpha, B)
H = calc.get_H()
energy,groundstate = H.groundstate()
m = quant.absolute_magnetization_x(groundstate)
magnetization_array[i] = m
np.save('magnetization_array_{}'.format(number_of_spins), magnetization_array)
def calculate_and_save():
quant = state_quantifier(number_of_spins)
ground_states = []
for i, B in enumerate(B_list):
print i
calc = ising_calculator_FM(number_of_spins, alpha, B)
H = calc.get_H()
energy, groundstate = H.groundstate()
ground_states.append(groundstate)
sx, sy, sz = quant.get_reduced_dms(ground_states, spin=0)
np.save('magnetization_array_one_spin_{}'.format(number_of_spins),
(B_list, sx, sy, sz))
