# Copyright (c) 2020 Paddle Quantum Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ HGenerator """ from numpy import array, kron, trace import scipy __all__ = ["H_generator", ] def H_generator(): """ Generate a Hamiltonian with trivial descriptions Returns: A Hamiltonian """ beta = 1 sigma_I = array([[1, 0], [0, 1]]) sigma_Z = array([[1, 0], [0, -1]]) H = (-kron(kron(sigma_Z, sigma_Z), sigma_I) - kron( kron(sigma_I, sigma_Z), sigma_Z) - kron( kron(sigma_Z, sigma_I), sigma_Z)) rho = scipy.linalg.expm(-1 * beta * H) / trace(scipy.linalg.expm(-1 * beta * H)) return H.astype("complex64"), rho.astype("complex64")