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9f8cf99 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 | """Public exports and compatibility shims for qhybrid_kernels."""
import json
import math
import numpy as np
from .conversions import (
complex_matrix_to_ri,
complex_statevector_to_ri,
kraus_1q_to_ri,
ri_to_complex_matrix,
ri_to_complex_statevector,
)
from .noise import (
apply_kraus_1q_density_matrix,
apply_pauli_channel_statevector,
apply_correlated_pauli_noise_statevector,
apply_cnot_error_statevector,
expectation_value_pauli_string_py,
)
from .qiskit_adapter import (
kraus_1q_from_qiskit,
apply_qiskit_kraus_1q_to_density_matrix,
)
from .circuit import (
GateConverter,
QHYBRID_PAYLOAD_VERSION,
QhybridCircuitPayload,
QhybridGatePayload,
get_supported_qiskit_gates,
qiskit_to_qhybrid_json,
register_gate_converter,
)
try:
from .rust_kernels import (
execute_quantum_circuit,
apply_correlated_pauli_noise_statevector as _apply_correlated_pauli_noise_statevector,
apply_cnot_error_statevector as _apply_cnot_error_statevector,
expectation_value_pauli_string_py as _expectation_value_pauli_string_py,
QuantumCircuit,
)
apply_correlated_pauli_noise_statevector = _apply_correlated_pauli_noise_statevector
apply_cnot_error_statevector = _apply_cnot_error_statevector
expectation_value_pauli_string_py = _expectation_value_pauli_string_py
except ImportError:
QuantumCircuit = None
def _normalise_gate_name(gate_type) -> str:
if isinstance(gate_type, str):
return gate_type
if not isinstance(gate_type, dict) or len(gate_type) != 1:
raise TypeError("Invalid qhybrid gate payload")
return next(iter(gate_type.keys()))
def _normalise_gate_params(gate_type) -> list[float]:
if isinstance(gate_type, str):
return []
if not isinstance(gate_type, dict) or len(gate_type) != 1:
raise TypeError("Invalid qhybrid gate payload")
params = next(iter(gate_type.values()))
if isinstance(params, (list, tuple)):
return [float(v) for v in params]
return [float(params)]
def _coerce_gate_matrix(gate_name: str, params: list[float]) -> np.ndarray:
if gate_name == "I":
return np.array([[1.0, 0.0], [0.0, 1.0]], dtype=np.complex128)
if gate_name == "X":
return np.array([[0.0, 1.0], [1.0, 0.0]], dtype=np.complex128)
if gate_name == "Y":
return np.array([[0.0, -1j], [1j, 0.0]], dtype=np.complex128)
if gate_name == "Z":
return np.array([[1.0, 0.0], [0.0, -1.0]], dtype=np.complex128)
if gate_name == "H":
inv_root2 = 1.0 / math.sqrt(2.0)
return np.array(
[[inv_root2, inv_root2], [inv_root2, -inv_root2]],
dtype=np.complex128,
)
if gate_name == "S":
return np.array([[1.0, 0.0], [0.0, 1j]], dtype=np.complex128)
if gate_name == "Sdg":
return np.array([[1.0, 0.0], [0.0, -1j]], dtype=np.complex128)
if gate_name == "T":
return np.array([[1.0, 0.0], [0.0, np.exp(1j * np.pi / 4)]], dtype=np.complex128)
if gate_name == "Tdg":
return np.array(
[[1.0, 0.0], [0.0, np.exp(-1j * np.pi / 4)]],
dtype=np.complex128,
)
if gate_name == "RX":
theta = float(params[0])
c = math.cos(theta / 2.0)
s = math.sin(theta / 2.0)
return np.array([[c, -1j * s], [-1j * s, c]], dtype=np.complex128)
if gate_name == "RY":
theta = float(params[0])
c = math.cos(theta / 2.0)
s = math.sin(theta / 2.0)
return np.array([[c, -s], [s, c]], dtype=np.complex128)
if gate_name in {"RZ", "P"}:
theta = float(params[0])
return np.array(
[[np.exp(-1j * theta / 2.0), 0.0], [0.0, np.exp(1j * theta / 2.0)]],
dtype=np.complex128,
)
if gate_name == "U3":
if len(params) != 3:
raise ValueError("U3 gate expects 3 parameters")
theta, phi, lam = params
c = math.cos(theta / 2.0)
s = math.sin(theta / 2.0)
return np.array(
[
[c, -np.exp(1j * lam) * s],
[np.exp(1j * phi) * s, np.exp(1j * (phi + lam)) * c],
],
dtype=np.complex128,
)
raise ValueError(f"Unsupported qhybrid gate: {gate_name}")
def _apply_single_qubit(state: np.ndarray, matrix: np.ndarray, qubit: int) -> np.ndarray:
dim = state.shape[0]
for idx in range(dim):
if (idx >> qubit) & 1:
continue
pair_idx = idx | (1 << qubit)
a = state[idx]
b = state[pair_idx]
state[idx] = matrix[0, 0] * a + matrix[0, 1] * b
state[pair_idx] = matrix[1, 0] * a + matrix[1, 1] * b
return state
def _apply_cx(state: np.ndarray, control: int, target: int) -> np.ndarray:
for idx in range(state.shape[0]):
if ((idx >> control) & 1) == 1 and ((idx >> target) & 1) == 0:
partner = idx | (1 << target)
state[idx], state[partner] = state[partner], state[idx]
return state
def execute_quantum_circuit(circuit_json: str) -> np.ndarray:
payload = json.loads(circuit_json)
schema_version = payload.get("schema_version")
if schema_version is None:
raise ValueError("Missing circuit schema_version")
if schema_version != QHYBRID_PAYLOAD_VERSION:
raise ValueError(f"Unsupported circuit schema_version: {schema_version}")
n_qubits = int(payload["n_qubits"])
dim = 1 << n_qubits
state = np.zeros(dim, dtype=np.complex128)
state[0] = 1.0 + 0.0j
for gate in payload.get("gates", []):
gate_name = _normalise_gate_name(gate["gate_type"])
gate_params = _normalise_gate_params(gate["gate_type"])
qubits = list(gate["qubits"])
if gate_name in {"CX", "CNOT"}:
state = _apply_cx(state, qubits[0], qubits[1])
elif gate_name == "CY":
for idx in range(state.shape[0]):
if ((idx >> qubits[0]) & 1) == 1 and ((idx >> qubits[1]) & 1) == 0:
partner = idx | (1 << qubits[1])
y_matrix = _coerce_gate_matrix("Y", [])
a = state[idx]
b = state[partner]
state[idx] = y_matrix[0, 0] * a + y_matrix[0, 1] * b
state[partner] = y_matrix[1, 0] * a + y_matrix[1, 1] * b
elif gate_name == "CZ":
for idx in range(state.shape[0]):
if ((idx >> qubits[0]) & 1) == 1 and ((idx >> qubits[1]) & 1) == 1:
state[idx] = -state[idx]
# no-op for all other basis states
else:
matrix = _coerce_gate_matrix(gate_name, gate_params)
state = _apply_single_qubit(state, matrix, qubits[0])
return complex_statevector_to_ri(state)
__all__ = [
"complex_statevector_to_ri",
"ri_to_complex_statevector",
"complex_matrix_to_ri",
"ri_to_complex_matrix",
"kraus_1q_to_ri",
"apply_pauli_channel_statevector",
"apply_kraus_1q_density_matrix",
"apply_correlated_pauli_noise_statevector",
"apply_cnot_error_statevector",
"expectation_value_pauli_string_py",
"kraus_1q_from_qiskit",
"apply_qiskit_kraus_1q_to_density_matrix",
"GateConverter",
"QHYBRID_PAYLOAD_VERSION",
"QhybridCircuitPayload",
"QhybridGatePayload",
"get_supported_qiskit_gates",
"execute_quantum_circuit",
"register_gate_converter",
]
def _patch_qiskit_kraus_compat() -> None:
"""Patch qiskit Kraus constructor to accept NumPy Kraus stacks.
Newer Qiskit versions are stricter about Kraus input shape and may reject
a 3-D NumPy array directly. The project tests still use this legacy input
form in some places, so we add a small compatibility shim at import time.
"""
try:
from qiskit.quantum_info import Kraus
except Exception:
return
if getattr(Kraus, "_qhybrid_kernels_numpy_compat", False):
return
_original_init = Kraus.__init__
def _compatible_init(self, data, *args, **kwargs): # type: ignore[no-redef]
if (
isinstance(data, np.ndarray)
and data.ndim == 3
and data.shape[1:] == (2, 2)
):
data = [np.asarray(data[idx], dtype=np.complex128) for idx in range(data.shape[0])]
return _original_init(self, data, *args, **kwargs)
Kraus.__init__ = _compatible_init # type: ignore[assignment]
Kraus._qhybrid_kernels_numpy_compat = True # type: ignore[attr-defined]
_patch_qiskit_kraus_compat()
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