Roll back the default on unitary to np.complex64, change default for final_state_vector

cirq-core/cirq/circuits/circuit.py

@@ -1003,7 +1003,7 @@ def unitary(
         qubit_order: 'cirq.QubitOrderOrList' = ops.QubitOrder.DEFAULT,
         qubits_that_should_be_present: Iterable['cirq.Qid'] = (),
         ignore_terminal_measurements: bool = True,
-        dtype: Type[np.complexfloating] = np.complex64,
+        dtype: Type[np.complexfloating] = np.complex128,
     ) -> np.ndarray:
         """Converts the circuit into a unitary matrix, if possible.
 
@@ -1018,10 +1018,11 @@ def unitary(
             ignore_terminal_measurements: When set, measurements at the end of
                 the circuit are ignored instead of causing the method to
                 fail.
-            dtype: The numpy dtype for the returned unitary. `dtype` must be
-                a complex np.dtype, unless all operations in the circuit have
-                unitary matrices with exclusively real coefficients
-                (e.g. an H + TOFFOLI circuit).
+            dtype: The numpy dtype for the returned unitary. Defaults to
+                np.complex128. Specifying np.complex64 will run faster at the
+                cost of precision. `dtype` must be a complex np.dtype, unless
+                all operations in the circuit have unitary matrices with
+                exclusively real coefficients (e.g. an H + TOFFOLI circuit).
 
         Returns:
             A (possibly gigantic) 2d numpy array corresponding to a matrix
@@ -1093,7 +1094,7 @@ def final_state_vector(
         qubit_order: 'cirq.QubitOrderOrList' = ops.QubitOrder.DEFAULT,
         qubits_that_should_be_present: Iterable['cirq.Qid'] = (),
         ignore_terminal_measurements: Optional[bool] = None,
-        dtype: Optional[Type[np.complexfloating]] = None,
+        dtype: Type[np.complexfloating] = np.complex128,
         param_resolver: 'cirq.ParamResolverOrSimilarType' = None,
         seed: 'cirq.RANDOM_STATE_OR_SEED_LIKE' = None,
     ) -> np.ndarray:
@@ -1143,14 +1144,6 @@ def final_state_vector(
                 )
             ignore_terminal_measurements = True
 
-        if dtype is None:
-            _compat._warn_or_error(
-                '`dtype` will default to np.complex64 in v0.16. '
-                'To use the previous default, please explicitly include '
-                '`dtype=np.complex128` when calling this method.'
-            )
-            dtype = np.complex128
-
         from cirq.sim.mux import final_state_vector
 
         program = Circuit(cirq.I(q) for q in qubits_that_should_be_present) + self

cirq-core/cirq/circuits/circuit_test.py

@@ -2957,62 +2957,6 @@ def test_final_state_vector(circuit_cls):
         )
 
 
-@pytest.mark.parametrize('circuit_cls', [cirq.Circuit, cirq.FrozenCircuit])
-def test_final_state_vector_deprecated_params(circuit_cls):
-    a = cirq.NamedQubit('a')
-    b = cirq.NamedQubit('b')
-    # Extra qubits.
-    cirq.testing.assert_allclose_up_to_global_phase(
-        circuit_cls().final_state_vector(ignore_terminal_measurements=False, dtype=np.complex128),
-        np.array([1]),
-        atol=1e-8,
-    )
-    with cirq.testing.assert_deprecated("Inject identity operators", deadline="v0.16"):
-        cirq.testing.assert_allclose_up_to_global_phase(
-            circuit_cls().final_state_vector(
-                qubits_that_should_be_present=[a],
-                ignore_terminal_measurements=False,
-                dtype=np.complex128,
-            ),
-            np.array([1, 0]),
-            atol=1e-8,
-        )
-    with cirq.testing.assert_deprecated("Inject identity operators", deadline="v0.16"):
-        cirq.testing.assert_allclose_up_to_global_phase(
-            circuit_cls(cirq.X(b)).final_state_vector(
-                qubits_that_should_be_present=[a],
-                ignore_terminal_measurements=False,
-                dtype=np.complex128,
-            ),
-            np.array([0, 1, 0, 0]),
-            atol=1e-8,
-        )
-
-    with cirq.testing.assert_deprecated("To drop terminal measurements", deadline="v0.16"):
-        cirq.testing.assert_allclose_up_to_global_phase(
-            circuit_cls(cirq.X(a), cirq.measure(a)).final_state_vector(dtype=np.complex128),
-            np.array([0, 1]),
-            atol=1e-8,
-        )
-
-    with cirq.testing.assert_deprecated("`dtype` will default to np.complex64", deadline="v0.16"):
-        cirq.testing.assert_allclose_up_to_global_phase(
-            circuit_cls(cirq.X(a)).final_state_vector(ignore_terminal_measurements=False),
-            np.array([0, 1]),
-            atol=1e-8,
-        )
-
-    # Non-keyword args.
-    with cirq.testing.assert_deprecated("Only use keyword arguments", deadline="v0.16"):
-        cirq.testing.assert_allclose_up_to_global_phase(
-            circuit_cls(cirq.X(a) ** 0.5).final_state_vector(
-                1, ignore_terminal_measurements=False, dtype=np.complex128
-            ),
-            np.array([1, 1j]) * np.sqrt(0.5),
-            atol=1e-8,
-        )
-
-
 @pytest.mark.parametrize('circuit_cls', [cirq.Circuit, cirq.FrozenCircuit])
 @pytest.mark.parametrize('resolve_fn', [cirq.resolve_parameters, cirq.resolve_parameters_once])
 def test_is_parameterized(circuit_cls, resolve_fn):

cirq-core/cirq/contrib/acquaintance/executor_test.py

@@ -119,9 +119,7 @@ def test_executor_random(
     circuit.append(cca.LinearPermutationGate(num_qubits, permutation)(*qubits))
     actual_unitary = circuit.unitary()
 
-    np.testing.assert_allclose(
-        actual=actual_unitary, desired=expected_unitary, verbose=True, atol=1e-6
-    )
+    np.testing.assert_allclose(actual=actual_unitary, desired=expected_unitary, verbose=True)
 
 
 def test_acquaintance_operation():

cirq-core/cirq/contrib/paulistring/clifford_optimize_test.py

@@ -121,4 +121,4 @@ def test_optimize_large_circuit():
 
     c_opt = clifford_optimized_circuit(c_orig)
 
-    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-7)

cirq-core/cirq/contrib/paulistring/optimize_test.py

@@ -48,17 +48,17 @@ def test_optimize():
 
     c_opt = optimized_circuit(c_orig)
 
-    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-7)
 
     # TODO(#5546) Fix '[Z]^1' (should be 'Z')
     cirq.testing.assert_has_diagram(
         c_opt,
         """
-0: ───X^0.5────────────@──────────────────────────────────────────────
+0: ───X^0.5────────────@────────────────────────────────────────
                        │
-1: ───@───────X^-0.5───@───@────────────────@───Z^-0.5────────────────
+1: ───@───────X^-0.5───@───@────────────────@───Z^-0.5──────────
       │                    │                │
-2: ───@────────────────────@───[X]^(-7/8)───@───[X]^-0.25───[Z]^(1)───
+2: ───@────────────────────@───[X]^(-7/8)───@───[X]^-0.25───Z───
 """,
     )
 
@@ -69,7 +69,7 @@ def test_optimize_large_circuit():
 
     c_opt = optimized_circuit(c_orig)
 
-    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-7)
 
     assert (
         sum(
@@ -87,7 +87,7 @@ def test_repeat_limit():
 
     c_opt = optimized_circuit(c_orig, repeat=1)
 
-    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-7)
 
     assert (
         sum(

cirq-core/cirq/contrib/paulistring/pauli_string_dag_test.py

@@ -26,5 +26,5 @@ def test_pauli_string_dag_from_circuit():
     c_left_reordered = c_left_dag.to_circuit()
 
     cirq.testing.assert_allclose_up_to_global_phase(
-        c_left.unitary(), c_left_reordered.unitary(), atol=1e-6
+        c_left.unitary(), c_left_reordered.unitary(), atol=1e-7
     )

cirq-core/cirq/contrib/paulistring/pauli_string_optimize_test.py

@@ -37,7 +37,7 @@ def test_optimize():
     c_opt = pauli_string_optimized_circuit(c_orig)
 
     cirq.testing.assert_allclose_up_to_global_phase(
-        c_orig.unitary(), c_expected.unitary(), atol=1e-6
+        c_orig.unitary(), c_expected.unitary(), atol=1e-7
     )
 
     cirq.testing.assert_has_diagram(
@@ -81,4 +81,4 @@ def test_optimize_large_circuit():
 
     c_opt = pauli_string_optimized_circuit(c_orig)
 
-    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(c_orig.unitary(), c_opt.unitary(), atol=1e-7)

cirq-core/cirq/contrib/paulistring/separate_test.py

@@ -23,7 +23,7 @@ def test_toffoli_separate():
     c_left, c_right = convert_and_separate_circuit(circuit)
 
     cirq.testing.assert_allclose_up_to_global_phase(
-        circuit.unitary(), (c_left + c_right).unitary(), atol=1e-6
+        circuit.unitary(), (c_left + c_right).unitary(), atol=1e-7
     )
 
     assert all(isinstance(op, cirq.PauliStringPhasor) for op in c_left.all_operations())

cirq-core/cirq/contrib/qasm_import/qasm_test.py

@@ -51,6 +51,6 @@ def test_consistency_with_qasm_output_and_qiskit():
     circuit2 = circuit_from_qasm(qasm)
 
     cirq_unitary = cirq.unitary(circuit2)
-    ct.assert_allclose_up_to_global_phase(cirq_unitary, cirq.unitary(circuit1), atol=1e-6)
+    ct.assert_allclose_up_to_global_phase(cirq_unitary, cirq.unitary(circuit1), atol=1e-8)
 
     cq.assert_qiskit_parsed_qasm_consistent_with_unitary(qasm, cirq_unitary)

cirq-core/cirq/ion/convert_to_ion_gates_test.py

@@ -88,7 +88,7 @@ def test_convert_to_ion_gates():
         atol=1e-4,
     )
     assert cirq.allclose_up_to_global_phase(
-        cirq.unitary(cirq.Circuit(rcnot)), cirq.unitary(OtherCNOT().on(q0, q1)), atol=1e-6
+        cirq.unitary(cirq.Circuit(rcnot)), cirq.unitary(OtherCNOT().on(q0, q1)), atol=1e-7
     )
 
 

cirq-core/cirq/linalg/decompositions.py

@@ -549,8 +549,6 @@ def scatter_plot_normalized_kak_interaction_coefficients(
     *,
     include_frame: bool = True,
     ax: Optional[plt.Axes] = None,
-    rtol: float = 1e-5,
-    atol: float = 1e-6,
     **kwargs,
 ):
     r"""Plots the interaction coefficients of many two-qubit operations.
@@ -592,12 +590,6 @@ def scatter_plot_normalized_kak_interaction_coefficients(
             wireframe. Defaults to `True`.
         ax: A matplotlib 3d axes object to plot into. If not specified, a new
             figure is created, plotted, and shown.
-        rtol: Per-matrix-entry relative tolerance on equality used if the
-            kak decomposition is calculated from the `interactions`.
-        atol: Per-matrix-entry absolute tolerance on equality used if the
-            kak decomposition is calculated from the `interaction`s. T
-            This determines how close $k_x$  must be to π/4 to guarantee
-            $k_z$ ≥ 0. Must be non-negative.
 
         **kwargs: Arguments forwarded into the call to `scatter` that plots the
             points. Working arguments include color `c='blue'`, scale `s=2`,
@@ -671,7 +663,7 @@ def coord_transform(
     else:
         interactions_extracted = [interactions]
 
-    points = kak_vector(interactions_extracted, rtol=rtol, atol=atol) * 4 / np.pi
+    points = kak_vector(interactions_extracted) * 4 / np.pi
 
     ax.scatter(*coord_transform(points), **kwargs)
     ax.set_xlim(0, +1)
@@ -819,7 +811,7 @@ def kak_decomposition(
     ],
     *,
     rtol: float = 1e-5,
-    atol: float = 1e-6,
+    atol: float = 1e-8,
     check_preconditions: bool = True,
 ) -> KakDecomposition:
     """Decomposes a 2-qubit unitary into 1-qubit ops and XX/YY/ZZ interactions.
@@ -955,7 +947,7 @@ def kak_vector(
 
     if check_preconditions:
         actual = np.einsum('...ba,...bc', unitary.conj(), unitary) - np.eye(4)
-        if not np.allclose(np.zeros_like(actual), actual, rtol=rtol, atol=atol):
+        if not np.allclose(actual, np.zeros_like(actual), rtol=rtol, atol=atol):
             raise ValueError(
                 'Input must correspond to a 4x4 unitary matrix or tensor of '
                 f'unitary matrices. Received input:\n{unitary}'

cirq-core/cirq/linalg/decompositions_test.py

@@ -782,4 +782,4 @@ def test_extract_right_diag(u):
     assert cirq.num_cnots_required(u) == 3
     diag = cirq.linalg.extract_right_diag(u)
     assert cirq.is_diagonal(diag)
-    assert cirq.num_cnots_required(u @ diag, atol=1e-6) == 2
+    assert cirq.num_cnots_required(u @ diag) == 2

cirq-core/cirq/ops/diagonal_gate_test.py

@@ -54,7 +54,7 @@ def test_decomposition_unitary(n):
 
     # For large qubit counts, the decomposed circuit is rather large, so we lose a lot of
     # precision.
-    np.testing.assert_allclose(decomposed_f, expected_f, atol=5e-6)
+    np.testing.assert_allclose(decomposed_f, expected_f)
 
 
 @pytest.mark.parametrize('n', [1, 2, 3, 4])
@@ -65,7 +65,7 @@ def test_diagonal_exponent(n):
     sqrt_diagonal_gate = diagonal_gate**0.5
 
     expected_angles = [prime / 2 for prime in diagonal_angles]
-    np.testing.assert_allclose(expected_angles, sqrt_diagonal_gate._diag_angles_radians, atol=1e-6)
+    np.testing.assert_allclose(expected_angles, sqrt_diagonal_gate._diag_angles_radians, atol=1e-8)
 
     assert cirq.pow(cirq.DiagonalGate(diagonal_angles), "test", None) is None
 
@@ -80,7 +80,7 @@ def test_decomposition_diagonal_exponent(n):
     expected_f = [np.exp(1j * angle / 2) for angle in diagonal_angles]
     decomposed_f = cirq.unitary(decomposed_circ).diagonal()
 
-    np.testing.assert_allclose(decomposed_f, expected_f, atol=1e-6)
+    np.testing.assert_allclose(decomposed_f, expected_f)
 
 
 @pytest.mark.parametrize('n', [1, 2, 3, 4])
@@ -99,7 +99,7 @@ def test_decomposition_with_parameterization(n):
             resolved_op = cirq.resolve_parameters(parameterized_op, resolver)
             resolved_circuit = cirq.resolve_parameters(decomposed_circuit, resolver)
             np.testing.assert_allclose(
-                cirq.unitary(resolved_op), cirq.unitary(resolved_circuit), atol=1e-6
+                cirq.unitary(resolved_op), cirq.unitary(resolved_circuit), atol=1e-8
             )
 
 

cirq-core/cirq/ops/fsim_gate_test.py

@@ -317,7 +317,7 @@ def test_phased_fsim_from_fsim_rz(theta, phi, rz_angles_before, rz_angles_after)
         cirq.rz(rz_angles_after[0]).on(q0),
         cirq.rz(rz_angles_after[1]).on(q1),
     )
-    cirq.testing.assert_allclose_up_to_global_phase(cirq.unitary(f), cirq.unitary(c), atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(cirq.unitary(f), cirq.unitary(c), atol=1e-8)
 
 
 @pytest.mark.parametrize(

cirq-core/cirq/ops/matrix_gates.py

@@ -56,7 +56,7 @@ def __init__(
         name: str = None,
         qid_shape: Optional[Iterable[int]] = None,
         unitary_check_rtol: float = 1e-5,
-        unitary_check_atol: float = 1e-6,
+        unitary_check_atol: float = 1e-8,
     ) -> None:
         """Initializes a matrix gate.
 

cirq-core/cirq/ops/parallel_gate_test.py

@@ -119,7 +119,7 @@ def test_unitary(gate, num_copies, qubits):
     step = gate.num_qubits()
     qubit_lists = [qubits[i * step : (i + 1) * step] for i in range(num_copies)]
     np.testing.assert_allclose(
-        cirq.unitary(g), cirq.unitary(cirq.Circuit(gate.on_each(qubit_lists))), atol=1e-6
+        cirq.unitary(g), cirq.unitary(cirq.Circuit(gate.on_each(qubit_lists))), atol=1e-8
     )
 
 

cirq-core/cirq/ops/phased_x_gate_test.py

@@ -176,7 +176,7 @@ def test_parameterize(resolve_fn, global_shift):
         np.testing.assert_allclose(
             cirq.unitary(resolved_gate(q)),
             cirq.unitary(resolve_fn(parameterized_decomposed_circuit, resolver)),
-            atol=1e-6,
+            atol=1e-8,
         )
 
     unparameterized_gate = cirq.PhasedXPowGate(

cirq-core/cirq/ops/two_qubit_diagonal_gate_test.py

@@ -51,7 +51,6 @@ def test_parameterized_decompose():
         np.testing.assert_allclose(
             cirq.unitary(cirq.resolve_parameters(parameterized_op, resolver)),
             cirq.unitary(cirq.resolve_parameters(decomposed_circuit, resolver)),
-            atol=1e-6,
         )
 
 

cirq-core/cirq/optimizers/merge_interactions_test.py

@@ -54,7 +54,7 @@ def assert_optimization_not_broken(circuit):
         cirq.MergeInteractions().optimize_circuit(circuit)
     u_after = circuit.unitary()
 
-    cirq.testing.assert_allclose_up_to_global_phase(u_before, u_after, atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(u_before, u_after, atol=1e-8)
 
 
 def test_clears_paired_cnot():
@@ -254,4 +254,4 @@ def clean_up(operations):
 
     u_before = c_orig.unitary()
     u_after = circuit[1:-1].unitary()
-    cirq.testing.assert_allclose_up_to_global_phase(u_before, u_after, atol=1e-6)
+    cirq.testing.assert_allclose_up_to_global_phase(u_before, u_after, atol=1e-8)

cirq-core/cirq/testing/circuit_compare_test.py

@@ -126,13 +126,12 @@ def test_measuring_qubits():
     'circuit', [cirq.testing.random_circuit(cirq.LineQubit.range(2), 4, 0.5) for _ in range(5)]
 )
 def test_random_same_matrix(circuit):
-    circuit_copy = circuit.copy()
     a, b = cirq.LineQubit.range(2)
     same = cirq.Circuit(
         cirq.MatrixGate(circuit.unitary(qubits_that_should_be_present=[a, b])).on(a, b)
     )
 
-    cirq.testing.assert_circuits_with_terminal_measurements_are_equivalent(circuit_copy, same)
+    cirq.testing.assert_circuits_with_terminal_measurements_are_equivalent(circuit, same)
 
     mutable_circuit = circuit.copy()
     mutable_circuit.append(cirq.measure(a))

cirq-core/cirq/testing/consistent_decomposition.py

@@ -43,10 +43,10 @@ def assert_decompose_is_consistent_with_unitary(val: Any, ignoring_global_phase:
     actual = circuits.Circuit(dec).unitary(qubit_order=qubits)
 
     if ignoring_global_phase:
-        lin_alg_utils.assert_allclose_up_to_global_phase(actual, expected, atol=1e-6)
+        lin_alg_utils.assert_allclose_up_to_global_phase(actual, expected, atol=1e-8)
     else:
         # coverage: ignore
-        np.testing.assert_allclose(actual, expected, atol=1e-6)
+        np.testing.assert_allclose(actual, expected, atol=1e-8)
 
 
 def _known_gate_with_no_decomposition(val: Any):