コード例 #1
0
ファイル: test_correlation.py プロジェクト: JonathanUlm/qutip
def test_spectrum_esfft():
    """
    correlation: comparing spectrum from es and fft methods
    """

    # use JC model
    N = 4
    wc = wa = 1.0 * 2 * np.pi
    g = 0.1 * 2 * np.pi
    kappa = 0.75
    gamma = 0.25
    n_th = 0.01

    a = tensor(destroy(N), qeye(2))
    sm = tensor(qeye(N), destroy(2))
    H = wc * a.dag() * a + wa * sm.dag() * sm + \
        g * (a.dag() * sm + a * sm.dag())
    c_ops = [np.sqrt(kappa * (1 + n_th)) * a,
             np.sqrt(kappa * n_th) * a.dag(),
             np.sqrt(gamma) * sm]

    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        tlist = np.linspace(0, 100, 2500)
        corr = correlation_ss(H, tlist, c_ops, a.dag(), a)
        wlist1, spec1 = spectrum_correlation_fft(tlist, corr)
        spec2 = spectrum_ss(H, wlist1, c_ops, a.dag(), a)

    assert_(max(abs(spec1 - spec2)) < 1e-3)
コード例 #2
0
ファイル: test_correlation.py プロジェクト: JonathanUlm/qutip
def test_spectrum_espi_legacy():
    """
    correlation: legacy spectrum from es and pi methods
    """

    # use JC model
    N = 4
    wc = wa = 1.0 * 2 * np.pi
    g = 0.1 * 2 * np.pi
    kappa = 0.75
    gamma = 0.25
    n_th = 0.01

    a = tensor(destroy(N), qeye(2))
    sm = tensor(qeye(N), destroy(2))
    H = wc * a.dag() * a + wa * sm.dag() * sm + \
        g * (a.dag() * sm + a * sm.dag())
    c_ops = [np.sqrt(kappa * (1 + n_th)) * a,
             np.sqrt(kappa * n_th) * a.dag(),
             np.sqrt(gamma) * sm]

    wlist = 2 * np.pi * np.linspace(0.5, 1.5, 100)
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        spec1 = spectrum_ss(H, wlist, c_ops, a.dag(), a)
        spec2 = spectrum_pi(H, wlist, c_ops, a.dag(), a)

    assert_(max(abs(spec1 - spec2)) < 1e-3)