def test_inverse_self():
# These gates are their own inverse
gate_names = ['I', 'X', 'Y', 'Z', 'CNOT', 'SWAP', 'CCNOT', 'CSWAP', 'CZ']
for name in gate_names:
gate = qf.STDGATES[name]()
inv = gate.H
assert type(gate) == type(inv)
inv = qf.Gate(gate.tensor).H
assert qf.gates_close(gate, inv)
def test_transpose_map():
# The transpose map is a superoperator that transposes a 1-qubit
# density matrix. Not physical.
# quant-ph/0202124
ops = [
qf.Gate(np.asarray([[1, 0], [0, 0]])),
qf.Gate(np.asarray([[0, 0], [0, 1]])),
qf.Gate(np.asarray([[0, 1], [1, 0]]) / np.sqrt(2)),
qf.Gate(np.asarray([[0, 1], [-1, 0]]) / np.sqrt(2))
]
kraus = qf.Kraus(ops, weights=(1, 1, 1, -1))
rho0 = qf.random_density(1)
rho1 = kraus.evolve(rho0)
op0 = qf.asarray(rho0.asoperator())
op1 = qf.asarray(rho1.asoperator())
assert np.allclose(op0.T, op1)
# The Choi matrix should be same as SWAP operator
choi = kraus.aschannel().choi()
choi = qf.asarray(choi)
assert np.allclose(choi, qf.asarray(qf.SWAP(0, 2).asoperator()))
def test_kronecker_decomposition():
for _ in range(REPS):
left = qf.random_gate(1).vec.asarray()
right = qf.random_gate(1).vec.asarray()
both = np.kron(left, right)
gate0 = qf.Gate(both, qubits=[0, 1])
circ = qf.kronecker_decomposition(gate0)
gate1 = circ.asgate()
assert qf.gates_close(gate0, gate1)
circ0 = qf.Circuit()
circ0 += qf.Z(0)
circ0 += qf.H(1)
gate0 = circ.asgate()
circ1 = qf.kronecker_decomposition(gate0)
gate1 = circ1.asgate()
assert qf.gates_close(gate0, gate1)
def test_repr():
g = qf.H()
assert str(g) == 'H 0'
g = qf.RX(3.12)
assert str(g) == 'RX(3.12) 0'
g = qf.identity_gate(2)
assert str(g) == 'I 0 1'
g = qf.random_gate(4)
assert str(g) == 'RAND4 0 1 2 3'
g = qf.H(0)
assert str(g) == 'H 0'
g = qf.CNOT(0, 1)
assert str(g) == 'CNOT 0 1'
g = qf.Gate(qf.CNOT().tensor)
assert str(g).startswith('<quantumflow.ops.Gate')
def test_gatepow():
gates = [
qf.I(),
qf.X(),
qf.Y(),
qf.Z(),
qf.H(),
qf.S(),
qf.T(),
qf.PHASE(0.1),
qf.RX(0.2),
qf.RY(0.3),
qf.RZ(0.4),
qf.CZ(),
qf.CNOT(),
qf.SWAP(),
qf.ISWAP(),
qf.CPHASE00(0.5),
qf.CPHASE01(0.6),
qf.CPHASE10(0.6),
qf.CPHASE(0.7),
qf.PSWAP(0.15),
qf.CCNOT(),
qf.CSWAP(),
qf.TX(2.7),
qf.TY(1.2),
qf.TZ(0.3),
qf.ZYZ(3.5, 0.9, 2.1),
qf.CANONICAL(0.1, 0.2, 7.4),
qf.XX(1.8),
qf.YY(0.9),
qf.ZZ(0.45),
qf.PISWAP(0.2),
qf.EXCH(0.1),
qf.TH(0.3)
]
for gate in gates:
assert qf.gates_close(gate.H, gate**-1)
for gate in gates:
sqrt_gate = gate**(1 / 2)
two_gate = sqrt_gate @ sqrt_gate
assert qf.gates_close(gate, two_gate)
for gate in gates:
gate0 = gate**0.3
gate1 = gate**0.7
gate2 = gate0 @ gate1
assert qf.gates_close(gate, gate2)
for K in range(1, 5):
gate = qf.random_gate(K) # FIXME: Throw error on K=0
sqrt_gate = gate**0.5
two_gate = sqrt_gate @ sqrt_gate
assert qf.gates_close(gate, two_gate)
for gate in gates:
rgate = qf.Gate((gate**0.5).tensor)
tgate = rgate @ rgate
assert qf.gates_close(gate, tgate)
