def test_simple_hadamard(self):
N = 1
H_d = sigmaz()
H_c = [sigmax()]
qc = QubitCircuit(N)
qc.add_gate("SNOT", 0)
# test load_circuit, with verbose info
num_tslots = 10
evo_time = 10
test = OptPulseProcessor(N, H_d, H_c)
tlist, coeffs = test.load_circuit(
qc, num_tslots=num_tslots, evo_time=evo_time, verbose=True)
# test run_state
rho0 = qubit_states(1, [0])
plus = (qubit_states(1, [0]) + qubit_states(1, [1])).unit()
result = test.run_state(rho0)
assert_allclose(fidelity(result.states[-1], plus), 1, rtol=1.0e-6)
# test add/remove ctrl
test.add_ctrl(sigmay())
test.remove_ctrl(0)
assert_(
len(test.ctrls) == 1,
msg="Method of remove_ctrl could be wrong.")
assert_allclose(test.drift, H_d)
assert_(
sigmay() in test.ctrls,
msg="Method of remove_ctrl could be wrong.")
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 test_multi_qubits(self):
"""
Test for multi-qubits system.
"""
N = 3
H_d = tensor([sigmaz()] * 3)
H_c = []
# test empty ctrls
num_tslots = 30
evo_time = 10
test = OptPulseProcessor(N)
test.add_drift(H_d, [0, 1, 2])
test.add_control(tensor([sigmax(), sigmax()]), cyclic_permutation=True)
# test periodically adding ctrls
sx = sigmax()
iden = identity(2)
# print(test.ctrls)
# print(Qobj(tensor([sx, iden, sx])))
assert_(Qobj(tensor([sx, iden, sx])) in test.ctrls)
assert_(Qobj(tensor([iden, sx, sx])) in test.ctrls)
assert_(Qobj(tensor([sx, sx, iden])) in test.ctrls)
test.add_control(sigmax(), cyclic_permutation=True)
test.add_control(sigmay(), cyclic_permutation=True)
# test pulse genration for cnot gate, with kwargs
qc = [tensor([identity(2), cnot()])]
test.load_circuit(qc,
num_tslots=num_tslots,
evo_time=evo_time,
min_fid_err=1.0e-6)
rho0 = qubit_states(3, [1, 1, 1])
rho1 = qubit_states(3, [1, 1, 0])
result = test.run_state(rho0, options=Options(store_states=True))
assert_(fidelity(result.states[-1], rho1) > 1 - 1.0e-6)
def test_simple_hadamard(self):
"""
Test for optimizing a simple hadamard gate
"""
N = 1
H_d = sigmaz()
H_c = sigmax()
qc = QubitCircuit(N)
qc.add_gate("SNOT", 0)
# test load_circuit, with verbose info
num_tslots = 10
evo_time = 10
test = OptPulseProcessor(N, drift=H_d)
test.add_control(H_c, targets=0)
tlist, coeffs = test.load_circuit(qc,
num_tslots=num_tslots,
evo_time=evo_time,
verbose=True)
# test run_state
rho0 = qubit_states(1, [0])
plus = (qubit_states(1, [0]) + qubit_states(1, [1])).unit()
result = test.run_state(rho0)
assert_allclose(fidelity(result.states[-1], plus), 1, rtol=1.0e-6)
# test add/remove ctrl
test.add_control(sigmay())
test.remove_pulse(0)
assert_(len(test.pulses) == 1,
msg="Method of remove_pulse could be wrong.")
assert_allclose(test.drift.drift_hamiltonians[0].qobj, H_d)
assert_(sigmay() in test.ctrls,
msg="Method of remove_pulse could be wrong.")
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 testQubitStates(self):
"""
Tests the qubit_states function.
"""
psi0_a = basis(2, 0)
psi0_b = qubit_states()
assert_(psi0_a == psi0_b)
psi1_a = basis(2, 1)
psi1_b = qubit_states(states=[1])
assert_(psi1_a == psi1_b)
psi01_a = tensor(psi0_a, psi1_a)
psi01_b = qubit_states(N=2, states=[0, 1])
assert_(psi01_a == psi01_b)
def testQubitStates(self):
"""
Tests the qubit_states function.
"""
psi0_a = basis(2, 0)
psi0_b = qubit_states()
assert_(psi0_a == psi0_b)
psi1_a = basis(2, 1)
psi1_b = qubit_states(states=[1])
assert_(psi1_a == psi1_b)
psi01_a = tensor(psi0_a, psi1_a)
psi01_b = qubit_states(N=2, states=[0, 1])
assert_(psi01_a == psi01_b)
def test_multi_qubits(self):
N = 3
H_d = tensor([sigmaz()]*3)
H_c = []
# test empty ctrls
num_tslots = 30
evo_time = 10
test = OptPulseProcessor(N, H_d, H_c)
test.add_ctrl(tensor([sigmax(), sigmax()]),
cyclic_permutation=True)
# test periodically adding ctrls
sx = sigmax()
iden = identity(2)
assert_(Qobj(tensor([sx, iden, sx])) in test.ctrls)
assert_(Qobj(tensor([iden, sx, sx])) in test.ctrls)
assert_(Qobj(tensor([sx, sx, iden])) in test.ctrls)
test.add_ctrl(sigmax(), cyclic_permutation=True)
test.add_ctrl(sigmay(), cyclic_permutation=True)
# test pulse genration for cnot gate, with kwargs
qc = [tensor([identity(2), cnot()])]
test.load_circuit(qc, num_tslots=num_tslots,
evo_time=evo_time, min_fid_err=1.0e-6)
rho0 = qubit_states(3, [1, 1, 1])
rho1 = qubit_states(3, [1, 1, 0])
result = test.run_state(
rho0, options=Options(store_states=True))
print(result.states[-1])
print(rho1)
assert_(fidelity(result.states[-1], rho1) > 1-1.0e-6)
# test save and read coeffs
test.save_coeff("qutip_test_multi_qubits.txt")
test2 = OptPulseProcessor(N, H_d, H_c)
test2.drift = test.drift
test2.ctrls = test.ctrls
test2.read_coeff("qutip_test_multi_qubits.txt")
os.remove("qutip_test_multi_qubits.txt")
assert_(np.max((test.coeffs-test2.coeffs)**2) < 1.0e-13)
result = test2.run_state(rho0,)
assert_(fidelity(result.states[-1], rho1) > 1-1.0e-6)
def TestNoise(self):
"""
Test for Processor with noise
"""
# setup and fidelity without noise
rho0 = qubit_states(2, [0, 0, 0, 0])
tlist = np.array([0., np.pi / 2.])
a = destroy(2)
proc = Processor(N=2)
proc.tlist = tlist
proc.coeffs = np.array([1]).reshape((1, 1))
proc.add_ctrl(sigmax(), targets=1)
result = proc.run_state(rho0=rho0)
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(rho0=rho0)
assert_allclose(fidelity(result.states[-1],
qubit_states(2, [0, 1, 0, 0])),
0.981852,
rtol=1.e-3)
# white noise with internal/external operators
proc.noise = []
white_noise = RandomNoise(loc=0.1, scale=0.1)
proc.add_noise(white_noise)
result = proc.run_state(rho0=rho0)
proc.noise = []
white_noise = RandomNoise(loc=0.1, scale=0.1, ops=sigmax(), targets=1)
proc.add_noise(white_noise)
result = proc.run_state(rho0=rho0)
def hst_measurement(state: Qobj, qcircuit, sample_size=1):
"""Hilbert-Schmidt test"""
N = len(state.dims[0])
qc = QubitCircuit(N * 2)
qc.add_circuit(qcircuit)
if state.isket:
statein = tensor(state, qubit_states(N))
elif state.isbra:
statein = tensor(state, qubit_states(N).dag())
elif state.isoper:
statein = tensor(state, ket2dm(qubit_states(N)))
state_preps = statein.transform(
gate_sequence_product(bell_prep(N, True).propagators()))
state_out = state_preps.transform(gate_sequence_product(qc.propagators()))
state_postps = state_out.transform(
gate_sequence_product(bell_prep(N).propagators()))
prob = com_measure(state_postps)
hst = np.random.choice(4**N, sample_size, p=prob)
mresult = [
state_index_number(state_postps.dims[0], result) for result in hst
]
return mresult # raw output
from numpy import pi
from qutip import tensor
from qutip.operators import sigmax, identity
from qutip.qip.circuit import QubitCircuit
from qutip.qip.gates import hadamard_transform, cnot, snot, swap, \
gate_sequence_product
from qutip.qip.qubits import qubit_states
from qutip.states import basis, fock
print(basis(N=4, n=0))
print("\n")
print(fock(N=4, n=0))
print("\n")
print(qubit_states(N=2, states=[0, 0]))
print("\n")
x = sigmax()
print(x)
print("\n")
ket_zero = qubit_states(N=1, states=[0])
print(ket_zero)
print("\n")
print(x * ket_zero)
print("\n")
print(tensor([identity(N=2), hadamard_transform(N=1)]))
from qutip.tensor import tensor
# %% [markdown]
# Three samples that reduce the dimension of a quantum state are given
# %% Generate random input
N = 4 # number of qubits
n = 2 # number of reduced qubits
# Random inputs (qubit state)
Input = rand_ket(2**N, dims=[[2] * N, [1] * N])
# Input2 = rand_ket(2**N,dims=[[2]*N,[1]*N])
# Input = 0.99*Input*Input.dag() + 0.01*Input2*Input2.dag() # To add some inpurity
# Reference State
r_state = qubit_states(n) # 0 state
# %% Reduce the dimension of a quantum state by bring one of the subsystem to 0 state
print("quantum dimensionality reduction")
vc1 = vcirc(N)
for L in np.arange(1, 5): # number of ansatz
vc1.add_ansatz(np.zeros(N * 3)) # add one layer
t0 = time()
x0 = np.zeros(N * 3 * L) # init parameters
res = circ_maximize(x0,
Input,
vc1,
fid_ref,
r_state, [2, 3],
import pytest
import numpy as np
from variational_circuit.measure import *
from variational_circuit.vcirc import *
from qutip.states import bell_state
from qutip.qip.qubits import qubit_states
from qutip.metrics import fidelity
zero_state = qubit_states(2)
zero_qubit = qubit_states(1)
bell = bell_state()
vc = vcirc(2)
def test_add_ansatz():
vc.add_ansatz([0, 0, 0, 0, 0, 0])
vc.add_ansatz([0, 0, 0, 0, 0, 0])
assert vc.structures == [('regular', None, {}), ('regular', None, {})]
assert (vc.ansatzes[0].para == np.array([0, 0, 0, 0, 0, 0])).all()
assert (vc.ansatzes[1].para == np.array([0, 0, 0, 0, 0, 0])).all()
def test_update_circuit():
vc.update_ansatzes([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
assert (vc.ansatzes[0].para == np.array([1, 1, 1, 1, 1, 1])).all()
assert (vc.ansatzes[1].para == np.array([1, 1, 1, 1, 1, 1])).all()
