def test_composite_oper():
"""
Composite: Tests compositing unitaries and superoperators.
"""
U1 = rand_unitary(3)
U2 = rand_unitary(5)
S1 = to_super(U1)
S2 = to_super(U2)
S3 = rand_super(4)
S4 = rand_super(7)
assert_(composite(U1, U2) == tensor(U1, U2))
assert_(composite(S3, S4) == super_tensor(S3, S4))
assert_(composite(U1, S4) == super_tensor(S1, S4))
assert_(composite(S3, U2) == super_tensor(S3, S2))
def test_ChoiPreservesSelf(self):
"""
Superoperator: to_choi(q) returns q if q is already Choi.
"""
superop = rand_super()
choi = to_choi(superop)
assert_(choi is to_choi(choi))
def test_composite_oper():
"""
Composite: Tests compositing unitaries and superoperators.
"""
U1 = rand_unitary(3)
U2 = rand_unitary(5)
S1 = to_super(U1)
S2 = to_super(U2)
S3 = rand_super(4)
S4 = rand_super(7)
assert_(composite(U1, U2) == tensor(U1, U2))
assert_(composite(S3, S4) == super_tensor(S3, S4))
assert_(composite(U1, S4) == super_tensor(S1, S4))
assert_(composite(S3, U2) == super_tensor(S3, S2))
def test_SuperPreservesSelf(self):
"""
Superoperator: to_super(q) returns q if q is already a
supermatrix.
"""
superop = rand_super()
assert_(superop is to_super(superop))
def test_ChoiPreservesSelf(self):
"""
Superoperator: to_choi(q) returns q if q is already Choi.
"""
superop = rand_super()
choi = to_choi(superop)
assert_(choi is to_choi(choi))
def test_SuperPreservesSelf(self):
"""
Superoperator: to_super(q) returns q if q is already a
supermatrix.
"""
superop = rand_super()
assert_(superop is to_super(superop))
def test_random_iscptp(self):
"""
Superoperator: Randomly generated superoperators are
correctly reported as cptp.
"""
superop = rand_super()
assert_(superop.iscptp)
def test_random_iscptp(self):
"""
Superoperator: Randomly generated superoperators are
correctly reported as cptp.
"""
superop = rand_super()
assert_(superop.iscptp)
def test_SuperChoiChiSuper(self):
"""
Superoperator: Converting two-qubit superoperator through
Choi and chi representations goes back to right superoperator.
"""
superoperator = super_tensor(rand_super(2), rand_super(2))
choi_matrix = to_choi(superoperator)
chi_matrix = to_chi(choi_matrix)
test_supe = to_super(chi_matrix)
# Assert both that the result is close to expected, and has the right
# type.
assert_((test_supe - superoperator).norm() < tol)
assert_(choi_matrix.type == "super" and choi_matrix.superrep == "choi")
assert_(chi_matrix.type == "super" and chi_matrix.superrep == "chi")
assert_(test_supe.type == "super" and test_supe.superrep == "super")
def test_SuperChoiChiSuper(self):
"""
Superoperator: Converting two-qubit superoperator through
Choi and chi representations goes back to right superoperator.
"""
superoperator = super_tensor(rand_super(2), rand_super(2))
choi_matrix = to_choi(superoperator)
chi_matrix = to_chi(choi_matrix)
test_supe = to_super(chi_matrix)
# Assert both that the result is close to expected, and has the right
# type.
assert_((test_supe - superoperator).norm() < tol)
assert_(choi_matrix.type == "super" and choi_matrix.superrep == "choi")
assert_(chi_matrix.type == "super" and chi_matrix.superrep == "chi")
assert_(test_supe.type == "super" and test_supe.superrep == "super")
def test_ChoiKrausChoi(self):
"""
Superoperator: Convert superoperator to Choi matrix and back.
"""
superoperator = rand_super()
choi_matrix = to_choi(superoperator)
kraus_ops = to_kraus(choi_matrix)
test_choi = kraus_to_choi(kraus_ops)
# Assert both that the result is close to expected, and has the right
# type.
assert_((test_choi - choi_matrix).norm() < tol)
assert_(choi_matrix.type == "super" and choi_matrix.superrep == "choi")
assert_(test_choi.type == "super" and test_choi.superrep == "choi")
def test_SuperChoiSuper(self):
"""
Superoperator: Converting superoperator to Choi matrix and back.
"""
superoperator = rand_super()
choi_matrix = to_choi(superoperator)
test_supe = to_super(choi_matrix)
# Assert both that the result is close to expected, and has the right
# type.
assert_((test_supe - superoperator).norm() < tol)
assert_(choi_matrix.type == "super" and choi_matrix.superrep == "choi")
assert_(test_supe.type == "super" and test_supe.superrep == "super")
def test_ChoiKrausChoi(self):
"""
Superoperator: Convert superoperator to Choi matrix and back.
"""
superoperator = rand_super()
choi_matrix = to_choi(superoperator)
kraus_ops = to_kraus(choi_matrix)
test_choi = kraus_to_choi(kraus_ops)
# Assert both that the result is close to expected, and has the right
# type.
assert_((test_choi - choi_matrix).norm() < tol)
assert_(choi_matrix.type == "super" and choi_matrix.superrep == "choi")
assert_(test_choi.type == "super" and test_choi.superrep == "choi")
def test_SuperChoiSuper(self):
"""
Superoperator: Converting superoperator to Choi matrix and back.
"""
superoperator = rand_super()
choi_matrix = to_choi(superoperator)
test_supe = to_super(choi_matrix)
# Assert both that the result is close to expected, and has the right
# type.
assert_((test_supe - superoperator).norm() < tol)
assert_(choi_matrix.type == "super" and choi_matrix.superrep == "choi")
assert_(test_supe.type == "super" and test_supe.superrep == "super")
