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| import numpy as np | |
| import h5py | |
| # from map_packages_colors import * | |
| import matplotlib.pyplot as plt | |
| import os | |
| import sys | |
| import warnings | |
| warnings.filterwarnings("ignore") | |
| params = {'backend': 'ps', | |
| 'axes.labelsize': 16, | |
| 'axes.titlesize': 14, | |
| 'font.size': 8, | |
| 'legend.fontsize': 14, | |
| 'xtick.labelsize': 16, | |
| 'ytick.labelsize': 16, | |
| 'figure.figsize': (10, 10),} | |
| # 'text.usetex': True} | |
| from matplotlib import rc | |
| # plt.rc('text.latex', preamble=r'\usepackage{braket}') | |
| plt.rcParams.update(params) | |
| N_arr = np.arange(6, 14, 2) | |
| path = os.getcwd() | |
| data_path = path + '/exp_data/' | |
| def compare_two_expect_all(task, prec, pkg_str): | |
| fig, ax = plt.subplots() | |
| comp_mat = np.zeros((len(pkg_str), len(pkg_str))) | |
| for p1 in range(len(pkg_str)): | |
| dat_file_p1 = data_path + '{}/{}/exp_mat_{}_{}.npy'.format(task, pkg_str[p1], pkg_str[p1], prec) | |
| # print(dat_file_p1) | |
| for p2 in range(len(pkg_str)): | |
| dat_file_p2 = data_path + '{}/{}/exp_mat_{}_{}.npy'.format(task, pkg_str[p2], pkg_str[p2], prec) | |
| if os.path.isfile(dat_file_p1) and os.path.isfile(dat_file_p2): | |
| dat_p1 = np.load(dat_file_p1) | |
| dat_p2 = np.load(dat_file_p2) | |
| comp_mat[p1, p2] = np.log10(np.sum(np.abs(dat_p1 - dat_p2))/float(16)) | |
| # print(comp_mat[p1, p2]) | |
| else: | |
| continue | |
| if prec == 'sp': | |
| plt.imshow(comp_mat, cmap='Spectral', vmin=-16, vmax=-3) | |
| elif prec == 'dp': | |
| plt.imshow(comp_mat, cmap='Spectral', vmin=-17, vmax=-11) | |
| plt.xticks(range(len(pkg_str)), pkg_str) | |
| locs, labels = plt.xticks() | |
| plt.setp(labels, rotation=90) | |
| plt.yticks(range(len(pkg_str)), pkg_str) | |
| locs, labels = plt.yticks() | |
| plt.colorbar() | |
| plt.tight_layout() | |
| # plt.savefig(fn) | |
| plt.show() | |
| package_str_sp = ['cirq', 'hybridq', 'intel_qs_cpp', 'pennylane', 'pennylane_l', 'qibo', 'qibojit', 'qiskit', 'qsimcirq', 'quest', 'yao', 'qiskit_gpu', 'hybridq_gpu', 'qibojit_gpu', 'qsimcirq_gpu', 'yao_gpu']#, 'pennylane_l_gpu', 'quest_gpu', 'projectq', 'qulacs', 'qulacs_gpu'] | |
| sorted_package_str_sp = ['cuquantum_qiskit', 'qiskit', 'qiskit_gpu', 'pennylane', 'cirq', 'qsimcirq', 'qsimcirq_gpu', 'qibojit_gpu', 'qibo', 'qibojit', 'quest', 'intel_qs_cpp', 'myqlm_cpp', 'cuquantum_qsimcirq', 'pennylane_l', 'hybridq_gpu', 'hybridq', 'yao', 'yao_gpu'] | |
| # compare_two_expect_all('hdyn', 'sp', sorted_package_str_sp)#, 'compare_packages_qft_sp_N16_log.pdf') | |
| package_str_dp = ['cirq', 'intel_qs_cpp', 'pennylane', 'pennylane_l', 'qibo', 'qibojit', 'qiskit', 'quest', 'yao', 'qiskit_gpu', 'qibojit_gpu', 'yao_gpu', 'pennylane_l_gpu', 'quest_gpu', 'projectq', 'qulacs', 'qulacs_gpu'] | |
| sorted_package_str_dp = ['qibojit_gpu', 'qulacs', 'qiskit', 'cuquantum_qiskit', 'qiskit_gpu', 'qpanda', 'intel_qs_cpp', 'quest', 'qibo', 'qibojit', 'pennylane_l_gpu', 'pennylane', 'yao_gpu', 'myqlm_cpp', 'myqlm', 'braket', 'yao', 'pennylane_l', 'cirq', 'quest_gpu', 'projectq', 'qulacs_gpu'] | |
| # compare_two_expect_all('hdyn', 'dp', sorted_package_str_dp)#, 'compare_packages_qft_dp_N16_log.pdf') | |