chore: deprecating ionq.qpu target (#633)

Author: kikomiss

azure-quantum/azure/quantum/qiskit/backends/__init__.py

@@ -7,10 +7,8 @@
 
 from azure.quantum.qiskit.backends.ionq import (
     IonQBackend,
-    IonQQPUBackend,
     IonQAriaBackend,
     IonQSimulatorBackend,
-    IonQQPUQirBackend,
     IonQAriaQirBackend,
     IonQForteBackend,
     IonQForteQirBackend,

azure-quantum/azure/quantum/qiskit/backends/ionq.py

@@ -34,15 +34,12 @@
 
 __all__ = [
     "IonQBackend",
-    "IonQQPUBackend",
     "IonQSimulatorBackend",
     "IonQAriaBackend",
     "IonQForteBackend",
     "IonQQirBackend",
     "IonQSimulatorQirBackend",
     "IonQSimulatorNativeBackend",
-    "IonQQPUQirBackend",
-    "IonQQPUNativeBackend",
     "IonQAriaQirBackend",
     "IonQForteQirBackend",
     "IonQAriaNativeBackend",
@@ -133,38 +130,6 @@ def __init__(self, name: str, provider: "AzureQuantumProvider", **kwargs):
         super().__init__(configuration=configuration, provider=provider, **kwargs)
 
 
-class IonQQPUQirBackend(IonQQirBackendBase):
-    backend_names = ("ionq.qpu",)
-
-    def __init__(self, name: str, provider: "AzureQuantumProvider", **kwargs):
-        """Base class for interfacing with an IonQ QPU backend"""
-
-        default_config = BackendConfiguration.from_dict(
-            {
-                "backend_name": name,
-                "backend_version": __version__,
-                "simulator": False,
-                "local": False,
-                "coupling_map": None,
-                "description": "IonQ QPU on Azure Quantum",
-                "basis_gates": ionq_basis_gates,
-                "memory": False,
-                "n_qubits": 11,
-                "conditional": False,
-                "max_shots": 10000,
-                "max_experiments": 1,
-                "open_pulse": False,
-                "gates": [{"name": "TODO", "parameters": [], "qasm_def": "TODO"}],
-                "azure": self._azure_config(),
-            }
-        )
-        logger.info("Initializing IonQQPUQirBackend")
-        configuration: BackendConfiguration = kwargs.pop(
-            "configuration", default_config
-        )
-        super().__init__(configuration=configuration, provider=provider, **kwargs)
-
-
 class IonQAriaQirBackend(IonQQirBackendBase):
     backend_names = ("ionq.qpu.aria-1", "ionq.qpu.aria-2")
 
@@ -361,55 +326,6 @@ def _azure_config(self) -> Dict[str, str]:
         return config
 
 
-class IonQQPUBackend(IonQBackend):
-    backend_names = ("ionq.qpu",)
-
-    def __init__(self, name: str, provider: "AzureQuantumProvider", **kwargs):
-        """Base class for interfacing with an IonQ QPU backend"""
-        gateset = kwargs.pop("gateset", "qis")
-        default_config = BackendConfiguration.from_dict(
-            {
-                "backend_name": name,
-                "backend_version": __version__,
-                "simulator": False,
-                "local": False,
-                "coupling_map": None,
-                "description": "IonQ QPU on Azure Quantum",
-                "basis_gates": GATESET_MAP[gateset],
-                "memory": False,
-                "n_qubits": 11,
-                "conditional": False,
-                "max_shots": 10000,
-                "max_experiments": 1,
-                "open_pulse": False,
-                "gates": [{"name": "TODO", "parameters": [], "qasm_def": "TODO"}],
-                "azure": self._azure_config(),
-                "gateset": gateset,
-            }
-        )
-        logger.info("Initializing IonQQPUBackend")
-        configuration: BackendConfiguration = kwargs.pop(
-            "configuration", default_config
-        )
-        super().__init__(configuration=configuration, provider=provider, **kwargs)
-
-
-class IonQQPUNativeBackend(IonQQPUBackend):
-    def __init__(self, name: str, provider: "AzureQuantumProvider", **kwargs):
-        if "gateset" not in kwargs:
-            kwargs["gateset"] = "native"
-        super().__init__(name, provider, **kwargs)
-
-    def _azure_config(self) -> Dict[str, str]:
-        config = super()._azure_config()
-        config.update(
-            {
-                "is_default": False,
-            }
-        )
-        return config
-
-
 class IonQAriaBackend(IonQBackend):
     backend_names = ("ionq.qpu.aria-1", "ionq.qpu.aria-2")
 

azure-quantum/azure/quantum/target/ionq.py

@@ -15,23 +15,20 @@
 
 COST_1QUBIT_GATE_MAP = {
     "ionq.simulator" : 0.0,
-    "ionq.qpu" : 0.00003,
     "ionq.qpu.aria-1" : 0.0002205,
     "ionq.qpu.aria-2" : 0.0002205,
     "ionq.qpu.forte-1" : 0.0002205
 }
 
 COST_2QUBIT_GATE_MAP = {
     "ionq.simulator" : 0.0,
-    "ionq.qpu" : 0.0003,
     "ionq.qpu.aria-1" : 0.00098,
     "ionq.qpu.aria-2" : 0.00098,
     "ionq.qpu.forte-1" : 0.00098
 }
 
 MIN_PRICE_MAP = {
     "ionq.simulator" : 0.0,
-    "ionq.qpu" : 1.0,
     "ionq.qpu.aria-1" : 97.5,
     "ionq.qpu.aria-2" : 97.5,
     "ionq.qpu.forte-1" : 97.5
@@ -47,7 +44,6 @@ def int_to_bitstring(k: int, num_qubits: int, measured_qubit_ids: List[int]):
 class IonQ(Target):
     """IonQ target."""
     target_names = (
-        "ionq.qpu",
         "ionq.simulator",
         "ionq.qpu.aria-1",
         "ionq.qpu.aria-2",
@@ -141,10 +137,6 @@ def estimate_cost(
         
         Specify pricing details for your area to get most accurate results.
         By default, this function charges depending on the target:
-            ionq.qpu:
-                price_1q = 0.00003 USD for a single-qubit gate.
-                price_2q = 0.0003  USD for a two-qubit gate.
-                min_price = 1 USD, total minimum price per circuit.
             ionq.qpu.aria-1:
                 price_1q = 0.00022 USD for a single-qubit gate.
                 price_2q = 0.00098 USD for a two-qubit gate.