def TestNoise(self): """ Test for Processor with noise """ # setup and fidelity without noise init_state = qubit_states(2, [0, 0, 0, 0]) tlist = np.array([0., np.pi/2.]) a = destroy(2) proc = Processor(N=2) proc.add_control(sigmax(), targets=1) proc.pulses[0].tlist = tlist proc.pulses[0].coeff = np.array([1]) result = proc.run_state(init_state=init_state) assert_allclose( fidelity(result.states[-1], qubit_states(2, [0, 1, 0, 0])), 1, rtol=1.e-7) # decoherence noise dec_noise = DecoherenceNoise([0.25*a], targets=1) proc.add_noise(dec_noise) result = proc.run_state(init_state=init_state) assert_allclose( fidelity(result.states[-1], qubit_states(2, [0, 1, 0, 0])), 0.981852, rtol=1.e-3) # white random noise proc.noise = [] white_noise = RandomNoise(0.2, np.random.normal, loc=0.1, scale=0.1) proc.add_noise(white_noise) result = proc.run_state(init_state=init_state)
def TestPlot(self): """ Test for plotting functions """ try: import matplotlib.pyplot as plt except Exception: return True # step_func tlist = np.linspace(0., 2*np.pi, 20) processor = Processor(N=1, spline_kind="step_func") processor.add_control(sigmaz()) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist]) processor.plot_pulses() plt.clf() # cubic spline tlist = np.linspace(0., 2*np.pi, 20) processor = Processor(N=1, spline_kind="cubic") processor.add_control(sigmaz()) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist]) processor.plot_pulses() plt.clf()
def testPlot(self): """ Test for plotting functions """ try: import matplotlib.pyplot as plt except Exception: return True # step_func tlist = np.linspace(0., 2 * np.pi, 20) processor = Processor(N=1, spline_kind="step_func") processor.add_control(sigmaz()) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist]) fig, _ = processor.plot_pulses() # testing under Xvfb with pytest-xvfb complains if figure windows are # left open, so we politely close it: plt.close(fig) # cubic spline tlist = np.linspace(0., 2 * np.pi, 20) processor = Processor(N=1, spline_kind="cubic") processor.add_control(sigmaz()) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = np.array([np.sin(t) for t in tlist]) fig, _ = processor.plot_pulses() # testing under Xvfb with pytest-xvfb complains if figure windows are # left open, so we politely close it: plt.close(fig)
def TestMultiLevelSystem(self): """ Test for processor with multi-level system """ N = 2 proc = Processor(N=N, dims=[2, 3]) proc.add_control(tensor(sigmaz(), rand_dm(3, density=1.))) proc.pulses[0].coeff = np.array([1, 2]) proc.pulses[0].tlist = np.array([0., 1., 2]) proc.run_state(init_state=tensor([basis(2, 0), basis(3, 1)]))
def TestGetObjevo(self): tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float) coeff = np.array([1, 1, 1, 1, 1, 1], dtype=float) processor = Processor(N=1) processor.add_control(sigmaz()) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = coeff # without noise unitary_qobjevo, _ = processor.get_qobjevo( args={"test": True}, noisy=False) assert_allclose(unitary_qobjevo.ops[0].qobj, sigmaz()) assert_allclose(unitary_qobjevo.tlist, tlist) assert_allclose(unitary_qobjevo.ops[0].coeff, coeff[0]) assert_(unitary_qobjevo.args["test"], msg="Arguments not correctly passed on") # with decoherence noise dec_noise = DecoherenceNoise( c_ops=sigmax(), coeff=coeff, tlist=tlist) processor.add_noise(dec_noise) assert_equal(unitary_qobjevo.to_list(), processor.get_qobjevo(noisy=False)[0].to_list()) noisy_qobjevo, c_ops = processor.get_qobjevo( args={"test": True}, noisy=True) assert_(noisy_qobjevo.args["_step_func_coeff"], msg="Spline type not correctly passed on") assert_(noisy_qobjevo.args["test"], msg="Arguments not correctly passed on") assert_(sigmaz() in [pair[0] for pair in noisy_qobjevo.to_list()]) assert_equal(c_ops[0].ops[0].qobj, sigmax()) assert_equal(c_ops[0].tlist, tlist) # with amplitude noise processor = Processor(N=1, spline_kind="cubic") processor.add_control(sigmaz()) tlist = np.linspace(1, 6, int(5/0.2)) coeff = np.random.rand(len(tlist)) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = coeff amp_noise = ControlAmpNoise(coeff=coeff, tlist=tlist) processor.add_noise(amp_noise) noisy_qobjevo, c_ops = processor.get_qobjevo( args={"test": True}, noisy=True) assert_(not noisy_qobjevo.args["_step_func_coeff"], msg="Spline type not correctly passed on") assert_(noisy_qobjevo.args["test"], msg="Arguments not correctly passed on") assert_equal(len(noisy_qobjevo.ops), 2) assert_equal(sigmaz(), noisy_qobjevo.ops[0].qobj) assert_allclose(coeff, noisy_qobjevo.ops[0].coeff, rtol=1.e-10)
def TestChooseSolver(self): # setup and fidelity without noise init_state = qubit_states(2, [0, 0, 0, 0]) tlist = np.array([0., np.pi/2.]) a = destroy(2) proc = Processor(N=2) proc.add_control(sigmax(), targets=1) proc.pulses[0].tlist = tlist proc.pulses[0].coeff = np.array([1]) result = proc.run_state(init_state=init_state, solver="mcsolve") assert_allclose( fidelity(result.states[-1], qubit_states(2, [0, 1, 0, 0])), 1, rtol=1.e-7)
def test_save_read(self): """ Test for saving and reading a pulse matrix """ proc = Processor(N=2) proc.add_control(sigmaz(), cyclic_permutation=True) proc1 = Processor(N=2) proc1.add_control(sigmaz(), cyclic_permutation=True) proc2 = Processor(N=2) proc2.add_control(sigmaz(), cyclic_permutation=True) # TODO generalize to different tlist tlist = [0., 0.1, 0.2, 0.3, 0.4, 0.5] amp1 = np.arange(0, 5, 1) amp2 = np.arange(5, 0, -1) proc.pulses[0].tlist = tlist proc.pulses[0].coeff = amp1 proc.pulses[1].tlist = tlist proc.pulses[1].coeff = amp2 proc.save_coeff("qutip_test_CircuitProcessor.txt") proc1.read_coeff("qutip_test_CircuitProcessor.txt") os.remove("qutip_test_CircuitProcessor.txt") assert_allclose(proc1.get_full_coeffs(), proc.get_full_coeffs()) assert_allclose(proc1.get_full_tlist(), proc.get_full_tlist()) proc.save_coeff("qutip_test_CircuitProcessor.txt", inctime=False) proc2.read_coeff("qutip_test_CircuitProcessor.txt", inctime=False) proc2.set_all_tlist(tlist) os.remove("qutip_test_CircuitProcessor.txt") assert_allclose(proc2.get_full_coeffs(), proc.get_full_coeffs())
def TestSpline(self): """ Test if the spline kind is correctly transfered into the arguments in QobjEvo """ tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float) coeff = np.array([1, 1, 1, 1, 1, 1], dtype=float) processor = Processor(N=1, spline_kind="step_func") processor.add_control(sigmaz()) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = coeff ideal_qobjevo, _ = processor.get_qobjevo(noisy=False) assert_(ideal_qobjevo.args["_step_func_coeff"]) noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True) assert_(noisy_qobjevo.args["_step_func_coeff"]) processor.T1 = 100. processor.add_noise(ControlAmpNoise(coeff=coeff, tlist=tlist)) noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True) assert_(noisy_qobjevo.args["_step_func_coeff"]) tlist = np.array([1, 2, 3, 4, 5, 6], dtype=float) coeff = np.array([1, 1, 1, 1, 1, 1], dtype=float) processor = Processor(N=1, spline_kind="cubic") processor.add_control(sigmaz()) processor.pulses[0].tlist = tlist processor.pulses[0].coeff = coeff ideal_qobjevo, _ = processor.get_qobjevo(noisy=False) assert_(not ideal_qobjevo.args["_step_func_coeff"]) noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True) assert_(not noisy_qobjevo.args["_step_func_coeff"]) processor.T1 = 100. processor.add_noise(ControlAmpNoise(coeff=coeff, tlist=tlist)) noisy_qobjevo, c_ops = processor.get_qobjevo(noisy=True) assert_(not noisy_qobjevo.args["_step_func_coeff"])
def test_modify_ctrls(self): """ Test for modifying Hamiltonian, add_control, remove_pulse """ N = 2 proc = Processor(N=N) proc.ctrls proc.add_control(sigmaz()) assert_(tensor([sigmaz(), identity(2)]), proc.ctrls[0]) proc.add_control(sigmax(), cyclic_permutation=True) assert_allclose(len(proc.ctrls), 3) assert_allclose(tensor([sigmax(), identity(2)]), proc.ctrls[1]) assert_allclose(tensor([identity(2), sigmax()]), proc.ctrls[2]) proc.add_control(sigmay(), targets=1) assert_allclose(tensor([identity(2), sigmay()]), proc.ctrls[3]) proc.remove_pulse([0, 1, 2]) assert_allclose(tensor([identity(2), sigmay()]), proc.ctrls[0]) proc.remove_pulse(0) assert_allclose(len(proc.ctrls), 0)