def load_cache(self, filename):
""" Load data from cache."""
fullpath = os.path.join(self.cache_dir, filename)
if os.path.exists(fullpath + '.bcolz'):
return load_array(fullpath + '.bcolz')
elif os.path.exists(fullpath + '.pkl'):
with open(fullpath + '.pkl', 'rb') as f:
return pickle.load(f)
else:
raise FileNotFoundError
J = 1.
H = 'TFI' # XXZ
if H == 'TFI':
dir_path = 'data/1d_TFI_g%.1f/' % (g)
elif H == 'XXZ':
dir_path = 'data/1d_XXZ_g%.1f/' % (g)
if not os.path.exists(dir_path):
os.makedirs(dir_path)
filename = 'exact_energy.csv'
path = dir_path + filename
# Try to load file
# If data return
E_dict = {}
try:
E_array = misc.load_array(path)
E_dict = misc.nparray_2_dict(E_array)
assert L in E_dict.keys()
print("Found data")
except Exception as error:
print(error)
energy = ed.get_E_exact(g, J, L, H)
E_dict[L] = energy
misc.save_array(path, misc.dict_2_nparray(E_dict))
# If no data --> generate data
print("Save new data")
if __name__ == '__main__':
L = int(sys.argv[1])
g = float(sys.argv[2])
order = str(sys.argv[3])
Hamiltonian = 'XXZ'
plt.close()
fig=plt.figure(figsize=(6,8))
############################################
dir_path = 'data/1d_%s_g%.1f/' % (Hamiltonian, g)
filename = 'exact_energy.csv'
path = dir_path + filename
# Try to load file
# If data return
exact_E_array = misc.load_array(path)
exact_E_dict = misc.nparray_2_dict(exact_E_array)
exact_E = exact_E_dict[L]
print("Found exact energy data")
circuit_num_para = []
circuit_dE = []
for depth in [1, 2, 3, 4]:
E_list = []
for N_iter in [1, 2, 10]:
try:
dir_path = 'data/1d_%s_g%.1f/' % (Hamiltonian, g)
filename = 'circuit_depth%d_Niter%d_%s_energy.csv' % (depth, N_iter, order)
path = dir_path + filename
# Try to load file
if __name__ == '__main__':
L = int(sys.argv[1])
g = float(sys.argv[2])
order = str(sys.argv[3])
Hamiltonian = 'XXZ'
plt.close()
fig = plt.figure(figsize=(6, 8))
############################################
dir_path = 'data/1d_%s_g%.1f/' % (Hamiltonian, g)
filename = 'exact_energy.csv'
path = dir_path + filename
# Try to load file
# If data return
exact_E_array = misc.load_array(path)
exact_E_dict = misc.nparray_2_dict(exact_E_array)
exact_E = exact_E_dict[L]
print("Found exact energy data")
for chi in [2, 4]:
dir_path = 'data/1d_%s_g%.1f/' % (Hamiltonian, g)
filename = 'mps_chi%d_%s_energy.csv' % (chi, order)
path = dir_path + filename
mps_E_array = misc.load_array(path)
mps_E_dict = misc.nparray_2_dict(mps_E_array)
mps_E = mps_E_dict[L]
print("Found mps data")
filename = 'dmrg_chi%d_energy.csv' % chi
path = dir_path + filename