Function test_noise_learning

test/Core/QPilotOSMachine.test.cpp:375–416

}

static bool test_noise_learning(QPilotOSMachine& qvm, const CaseConf& conf)
{
    size_t bit_num = 6;
    auto q = qvm.allocateQubits(bit_num);
    auto c = qvm.allocateCBits(bit_num);

    std::string param_json;
    size_t loop{ 1 };
    if (conf.m_default) {
        param_json = R"({ "ir": "QINIT 3\n CREG 3\n RY q[0],(1.43)\n RY q[1],(2.9)\n RY q[2],(1.47)\n CONTROL q[0]\n X q[1]\n ENDCONTROL\n RY q[0], (1.1)\n RY q[1],(-0.93)\n CONTROL q[0]\n X q[2]\n ENDCONTROL\n RY q[2],(-0.098)\n CONTROL q[1]\n X q[2]\n ENDCONTROL\n RY q[2],(-0.098)\n CONTROL q[0]\n X q[2]\n ENDCONTROL\n RY q[2], (-0.29)\n",
"pattern": 0,
"file": "common_generator.py",
"noise_model_file": "common_PER_experiment.pkl",
"samples": 10,
"nl_shots": 256,
"depths": [2, 4, 8],
"qem_base_method": 0 })";
    }
    else {
        JsonMsg::JsonBuilder json_builder;
        json_builder.add_member("ir", conf.m_originir.at(0));
        json_builder.add_member("pattern", conf.m_em_compute_conf.m_pattern);
        json_builder.add_member("file", conf.m_em_compute_conf.m_file);
        json_builder.add_member("noise_model_file", conf.m_em_compute_conf.m_noise_model_file);
        json_builder.add_member("samples", conf.m_em_compute_conf.m_samples);
        json_builder.add_member("nl_shots", conf.m_em_compute_conf.m_nl_shots);
        json_builder.add_array("depths", conf.m_em_compute_conf.m_depths);
        json_builder.add_member("qem_base_method", conf.m_em_compute_conf.m_qem_base_method);
        param_json = json_builder.get_json_str(true);
        loop = conf.m_loop;
    }

    for (size_t test_cnt = 0; test_cnt < loop; test_cnt++)
    {
        std::string task_id = qvm.noise_learning(param_json);
        std::cout << "get task_id for noise em_compute, task_id: " << task_id << endl;
    }

    qvm.Free_Qubits(q);
    qvm.Free_CBits(c);
    return true;
}

static bool test_em_compute(QPilotOSMachine& qvm, const CaseConf& conf)
{