#include #include #include #include "../util/util.h" #include #include #include #include #include #include #include TEST(DensityMatrixObservableTest, CheckExpectationValue) { const UINT n = 4; const UINT dim = 1ULL << n; const double eps = 1e-14; double coef; CPPCTYPE res_vec,res_mat; CPPCTYPE test_res; Random random; Eigen::MatrixXcd X(2, 2); X << 0, 1, 1, 0; QuantumState vector_state(n); DensityMatrix density_matrix(n); vector_state.set_computational_basis(0); density_matrix.load(&vector_state); coef = random.uniform(); Observable observable(n); observable.add_operator(coef, "X 0"); res_vec = observable.get_expectation_value(&vector_state); res_mat = observable.get_expectation_value(&density_matrix); ASSERT_NEAR(res_vec.real(), res_mat.real(), eps); ASSERT_NEAR(res_vec.imag(), 0, eps); ASSERT_NEAR(res_mat.imag(), 0, eps); vector_state.set_Haar_random_state(); density_matrix.load(&vector_state); res_vec = observable.get_expectation_value(&vector_state); res_mat = observable.get_expectation_value(&density_matrix); ASSERT_NEAR(res_vec.real(), res_mat.real(), eps); ASSERT_NEAR(res_vec.imag(), 0, eps); ASSERT_NEAR(res_mat.imag(), 0, eps); for (UINT repeat = 0; repeat < 10; ++repeat) { Observable rand_observable(n); Eigen::MatrixXcd test_rand_observable = Eigen::MatrixXcd::Zero(dim, dim); UINT term_count = random.int32() % 10 + 1; for (UINT term = 0; term < term_count; ++term) { std::vector paulis(n, 0); Eigen::MatrixXcd test_rand_observable_term = Eigen::MatrixXcd::Identity(dim, dim); coef = random.uniform(); for (UINT i = 0; i < paulis.size(); ++i) { paulis[i] = random.int32() % 4; test_rand_observable_term *= get_expanded_eigen_matrix_with_identity(i, get_eigen_matrix_single_Pauli(paulis[i]), n); } test_rand_observable += coef * test_rand_observable_term; std::string str = ""; for (UINT ind = 0; ind < paulis.size(); ind++) { UINT val = paulis[ind]; if (val != 0) { if (val == 1) str += " X"; else if (val == 2) str += " Y"; else if (val == 3) str += " Z"; str += " " + std::to_string(ind); } } rand_observable.add_operator(coef, str.c_str()); } vector_state.set_Haar_random_state(); density_matrix.load(&vector_state); res_vec = observable.get_expectation_value(&vector_state); res_mat = observable.get_expectation_value(&density_matrix); ASSERT_NEAR(res_vec.real(), res_mat.real(), eps); ASSERT_NEAR(res_vec.imag(), 0, eps); ASSERT_NEAR(res_mat.imag(), 0, eps); } } TEST(DensityMatrixObservableTest, CheckParsedObservableFromOpenFermionText) { auto func = [](const std::string str, const QuantumStateBase* state) -> CPPCTYPE { CPPCTYPE energy = 0; std::vector lines = split(str, "\n"); for (std::string line : lines) { // std::cout << state->get_norm() << std::endl; std::vector elems; elems = split(line, "()j[]+"); chfmt(elems[3]); CPPCTYPE coef(std::stod(elems[0]), std::stod(elems[1])); // std::cout << elems[3].c_str() << std::endl; PauliOperator mpt(elems[3].c_str(), coef.real()); // std::cout << mpt.get_coef() << " "; // std::cout << elems[3].c_str() << std::endl; energy += mpt.get_expectation_value(state); // mpt.get_expectation_value(state); } return energy; }; const double eps = 1e-14; const std::string text = "(-0.8126100000000005+0j) [] +\n" "(0.04532175+0j) [X0 Z1 X2] +\n" "(0.04532175+0j) [X0 Z1 X2 Z3] +\n" "(0.04532175+0j) [Y0 Z1 Y2] +\n" "(0.04532175+0j) [Y0 Z1 Y2 Z3] +\n" "(0.17120100000000002+0j) [Z0] +\n" "(0.17120100000000002+0j) [Z0 Z1] +\n" "(0.165868+0j) [Z0 Z1 Z2] +\n" "(0.165868+0j) [Z0 Z1 Z2 Z3] +\n" "(0.12054625+0j) [Z0 Z2] +\n" "(0.12054625+0j) [Z0 Z2 Z3] +\n" "(0.16862325+0j) [Z1] +\n" "(-0.22279649999999998+0j) [Z1 Z2 Z3] +\n" "(0.17434925+0j) [Z1 Z3] +\n" "(-0.22279649999999998+0j) [Z2]"; CPPCTYPE res_vec, res_mat; Observable* observable; observable = observable::create_observable_from_openfermion_text(text); ASSERT_NE(observable, (Observable*)NULL); UINT qubit_count = observable->get_qubit_count(); QuantumState vector_state(qubit_count); DensityMatrix density_matrix(qubit_count); vector_state.set_computational_basis(0); density_matrix.load(&vector_state); res_vec = observable->get_expectation_value(&vector_state); res_mat = observable->get_expectation_value(&density_matrix); ASSERT_NEAR(res_vec.real(), res_mat.real(), eps); ASSERT_NEAR(res_vec.imag(), res_mat.imag(), eps); vector_state.set_Haar_random_state(); density_matrix.load(&vector_state); res_vec = observable->get_expectation_value(&vector_state); res_mat = observable->get_expectation_value(&density_matrix); ASSERT_NEAR(res_vec.real(), res_mat.real(), eps); ASSERT_NEAR(res_vec.imag(), res_mat.imag(), eps); }