Perform fractional gate filtering on raw API dicts

qiskit_ibm_runtime/fake_provider/backends/fractional/conf_fractional.json

@@ -1 +1 @@
-{"backend_name": "fake_fractional", "backend_version": "1.0.5", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset", "rx", "rzx", "rzz"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["measure", "u3", "setf", "x", "delay", "id", "acquire", "sx", "u2", "u1", "cx", "shiftf", "play", "rz", "reset", "rx", "rzx", "if_else", "while_loop"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device fractional tester", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "allow_q_object": true, "multi_meas_enabled": true, "quantum_volume": 8, "qubit_channel_mapping": [["u0", "m0", "d0", "u1"], ["u4", "u3", "u0", "u2", "m1", "u1", "d1", "u5"], ["d2", "u4", "u2", "m2"], ["u3", "u7", "m3", "d3", "u6", "u5"], ["d4", "u6", "m4", "u7"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.52968554992376, 5.52968554992376], [4.628321697435369, 5.628321697435369], [4.74749131011471, 5.74749131011471], [4.803339662601714, 5.803339662601714], [4.591790567452984, 5.5917905674529855]], "meas_lo_range": [[6.925143125000002, 7.925143125000002], [6.721646720000002, 7.721646720000002], [6.971842939, 7.971842939], [6.8653172320000015, 7.8653172320000015], [6.919067567000002, 7.919067567000002]], "meas_kernels": ["hw_boxcar"], "discriminators": ["hw_centroid", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.109526390232452, "delta1": -2.0002465324219205, "delta2": -2.0960936199138844, "delta3": -2.0812544393432897, "delta4": -2.1015348325639516, "jq0q1": 0.011088625669671271, "jq1q2": 0.011792549393436344, "jq1q3": 0.011913891984976948, "jq3q4": 0.01165632975311803, "omegad0": 1.5262727915514445, "omegad1": 1.2641690419030664, "omegad2": 1.3397127967877365, "omegad3": 1.509152095855826, "omegad4": 1.497387831726462, "wq0": 31.602446347014453, "wq1": 32.222195539816184, "wq2": 32.9709602992653, "wq3": 33.321865847041835, "wq4": 31.992663680656207}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 3]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 1]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}}
+{"backend_name": "fake_fractional", "backend_version": "1.0.5", "n_qubits": 5, "basis_gates": ["id", "rz", "sx", "x", "cx", "reset", "rx", "rzz"], "gates": [{"name": "id", "parameters": [], "qasm_def": "gate id q { U(0, 0, 0) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "rz", "parameters": ["theta"], "qasm_def": "gate rz(theta) q { U(0, 0, theta) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "sx", "parameters": [], "qasm_def": "gate sx q { U(pi/2, 3*pi/2, pi/2) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "x", "parameters": [], "qasm_def": "gate x q { U(pi, 0, pi) q; }", "coupling_map": [[0], [1], [2], [3], [4]]}, {"name": "cx", "parameters": [], "qasm_def": "gate cx q0, q1 { CX q0, q1; }", "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]]}, {"name": "reset", "parameters": null, "qasm_def": null}], "local": false, "simulator": false, "conditional": false, "open_pulse": true, "memory": true, "max_shots": 8192, "coupling_map": [[0, 1], [1, 0], [1, 2], [1, 3], [2, 1], [3, 1], [3, 4], [4, 3]], "dynamic_reprate_enabled": true, "supported_instructions": ["measure", "u3", "setf", "x", "delay", "id", "acquire", "sx", "u2", "u1", "cx", "shiftf", "play", "rz", "reset", "rx", "rzz", "if_else", "while_loop"], "rep_delay_range": [0.0, 500.0], "default_rep_delay": 250.0, "max_experiments": 900, "sample_name": "family: Falcon, revision: 4, segment: T", "n_registers": 1, "credits_required": true, "online_date": "2021-01-08T05:00:00+00:00", "description": "5 qubit device fractional tester", "dt": 0.2222222222222222, "dtm": 0.2222222222222222, "processor_type": {"family": "Falcon", "revision": 4, "segment": "T"}, "parametric_pulses": ["gaussian", "gaussian_square", "drag", "constant"], "allow_q_object": true, "multi_meas_enabled": true, "quantum_volume": 8, "qubit_channel_mapping": [["u0", "m0", "d0", "u1"], ["u4", "u3", "u0", "u2", "m1", "u1", "d1", "u5"], ["d2", "u4", "u2", "m2"], ["u3", "u7", "m3", "d3", "u6", "u5"], ["d4", "u6", "m4", "u7"]], "uchannels_enabled": true, "url": "None", "allow_object_storage": true, "n_uchannels": 8, "u_channel_lo": [[{"q": 1, "scale": [1.0, 0.0]}], [{"q": 0, "scale": [1.0, 0.0]}], [{"q": 2, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 1, "scale": [1.0, 0.0]}], [{"q": 4, "scale": [1.0, 0.0]}], [{"q": 3, "scale": [1.0, 0.0]}]], "meas_levels": [1, 2], "qubit_lo_range": [[4.52968554992376, 5.52968554992376], [4.628321697435369, 5.628321697435369], [4.74749131011471, 5.74749131011471], [4.803339662601714, 5.803339662601714], [4.591790567452984, 5.5917905674529855]], "meas_lo_range": [[6.925143125000002, 7.925143125000002], [6.721646720000002, 7.721646720000002], [6.971842939, 7.971842939], [6.8653172320000015, 7.8653172320000015], [6.919067567000002, 7.919067567000002]], "meas_kernels": ["hw_boxcar"], "discriminators": ["hw_centroid", "linear_discriminator", "quadratic_discriminator"], "rep_times": [1000.0], "meas_map": [[0, 1, 2, 3, 4]], "acquisition_latency": [], "conditional_latency": [], "hamiltonian": {"description": "Qubits are modeled as Duffing oscillators. In this case, the system includes higher energy states, i.e. not just |0> and |1>. The Pauli operators are generalized via the following set of transformations:\n\n$(\\mathbb{I}-\\sigma_{i}^z)/2 \\rightarrow O_i \\equiv b^\\dagger_{i} b_{i}$,\n\n$\\sigma_{+} \\rightarrow b^\\dagger$,\n\n$\\sigma_{-} \\rightarrow b$,\n\n$\\sigma_{i}^X \\rightarrow b^\\dagger_{i} + b_{i}$.\n\nQubits are coupled through resonator buses. The provided Hamiltonian has been projected into the zero excitation subspace of the resonator buses leading to an effective qubit-qubit flip-flop interaction. The qubit resonance frequencies in the Hamiltonian are the cavity dressed frequencies and not exactly what is returned by the backend defaults, which also includes the dressing due to the qubit-qubit interactions.\n\nQuantities are returned in angular frequencies, with units 2*pi*GHz.\n\nWARNING: Currently not all system Hamiltonian information is available to the public, missing values have been replaced with 0.\n", "h_latex": "\\begin{align} \\mathcal{H}/\\hbar = & \\sum_{i=0}^{4}\\left(\\frac{\\omega_{q,i}}{2}(\\mathbb{I}-\\sigma_i^{z})+\\frac{\\Delta_{i}}{2}(O_i^2-O_i)+\\Omega_{d,i}D_i(t)\\sigma_i^{X}\\right) \\\\ & + J_{0,1}(\\sigma_{0}^{+}\\sigma_{1}^{-}+\\sigma_{0}^{-}\\sigma_{1}^{+}) + J_{1,3}(\\sigma_{1}^{+}\\sigma_{3}^{-}+\\sigma_{1}^{-}\\sigma_{3}^{+}) + J_{3,4}(\\sigma_{3}^{+}\\sigma_{4}^{-}+\\sigma_{3}^{-}\\sigma_{4}^{+}) + J_{1,2}(\\sigma_{1}^{+}\\sigma_{2}^{-}+\\sigma_{1}^{-}\\sigma_{2}^{+}) \\\\ & + \\Omega_{d,0}(U_{0}^{(0,1)}(t))\\sigma_{0}^{X} + \\Omega_{d,1}(U_{1}^{(1,0)}(t)+U_{3}^{(1,3)}(t)+U_{2}^{(1,2)}(t))\\sigma_{1}^{X} \\\\ & + \\Omega_{d,2}(U_{4}^{(2,1)}(t))\\sigma_{2}^{X} + \\Omega_{d,3}(U_{5}^{(3,1)}(t)+U_{6}^{(3,4)}(t))\\sigma_{3}^{X} \\\\ & + \\Omega_{d,4}(U_{7}^{(4,3)}(t))\\sigma_{4}^{X} \\\\ \\end{align}", "h_str": ["_SUM[i,0,4,wq{i}/2*(I{i}-Z{i})]", "_SUM[i,0,4,delta{i}/2*O{i}*O{i}]", "_SUM[i,0,4,-delta{i}/2*O{i}]", "_SUM[i,0,4,omegad{i}*X{i}||D{i}]", "jq0q1*Sp0*Sm1", "jq0q1*Sm0*Sp1", "jq1q3*Sp1*Sm3", "jq1q3*Sm1*Sp3", "jq3q4*Sp3*Sm4", "jq3q4*Sm3*Sp4", "jq1q2*Sp1*Sm2", "jq1q2*Sm1*Sp2", "omegad1*X0||U0", "omegad0*X1||U1", "omegad3*X1||U3", "omegad2*X1||U2", "omegad1*X2||U4", "omegad1*X3||U5", "omegad4*X3||U6", "omegad3*X4||U7"], "osc": {}, "qub": {"0": 3, "1": 3, "2": 3, "3": 3, "4": 3}, "vars": {"delta0": -2.109526390232452, "delta1": -2.0002465324219205, "delta2": -2.0960936199138844, "delta3": -2.0812544393432897, "delta4": -2.1015348325639516, "jq0q1": 0.011088625669671271, "jq1q2": 0.011792549393436344, "jq1q3": 0.011913891984976948, "jq3q4": 0.01165632975311803, "omegad0": 1.5262727915514445, "omegad1": 1.2641690419030664, "omegad2": 1.3397127967877365, "omegad3": 1.509152095855826, "omegad4": 1.497387831726462, "wq0": 31.602446347014453, "wq1": 32.222195539816184, "wq2": 32.9709602992653, "wq3": 33.321865847041835, "wq4": 31.992663680656207}}, "channels": {"acquire0": {"operates": {"qubits": [0]}, "purpose": "acquire", "type": "acquire"}, "acquire1": {"operates": {"qubits": [1]}, "purpose": "acquire", "type": "acquire"}, "acquire2": {"operates": {"qubits": [2]}, "purpose": "acquire", "type": "acquire"}, "acquire3": {"operates": {"qubits": [3]}, "purpose": "acquire", "type": "acquire"}, "acquire4": {"operates": {"qubits": [4]}, "purpose": "acquire", "type": "acquire"}, "d0": {"operates": {"qubits": [0]}, "purpose": "drive", "type": "drive"}, "d1": {"operates": {"qubits": [1]}, "purpose": "drive", "type": "drive"}, "d2": {"operates": {"qubits": [2]}, "purpose": "drive", "type": "drive"}, "d3": {"operates": {"qubits": [3]}, "purpose": "drive", "type": "drive"}, "d4": {"operates": {"qubits": [4]}, "purpose": "drive", "type": "drive"}, "m0": {"operates": {"qubits": [0]}, "purpose": "measure", "type": "measure"}, "m1": {"operates": {"qubits": [1]}, "purpose": "measure", "type": "measure"}, "m2": {"operates": {"qubits": [2]}, "purpose": "measure", "type": "measure"}, "m3": {"operates": {"qubits": [3]}, "purpose": "measure", "type": "measure"}, "m4": {"operates": {"qubits": [4]}, "purpose": "measure", "type": "measure"}, "u0": {"operates": {"qubits": [0, 1]}, "purpose": "cross-resonance", "type": "control"}, "u1": {"operates": {"qubits": [1, 0]}, "purpose": "cross-resonance", "type": "control"}, "u2": {"operates": {"qubits": [1, 2]}, "purpose": "cross-resonance", "type": "control"}, "u3": {"operates": {"qubits": [1, 3]}, "purpose": "cross-resonance", "type": "control"}, "u4": {"operates": {"qubits": [2, 1]}, "purpose": "cross-resonance", "type": "control"}, "u5": {"operates": {"qubits": [3, 1]}, "purpose": "cross-resonance", "type": "control"}, "u6": {"operates": {"qubits": [3, 4]}, "purpose": "cross-resonance", "type": "control"}, "u7": {"operates": {"qubits": [4, 3]}, "purpose": "cross-resonance", "type": "control"}}}

qiskit_ibm_runtime/ibm_backend.py

@@ -246,12 +246,6 @@ def _convert_to_target(self, refresh: bool = False) -> None:
                 configuration=self._configuration,  # type: ignore[arg-type]
                 properties=self._properties,
                 defaults=self._defaults,
-                # In IBM backend architecture as of today
-                # these features can be only exclusively supported.
-                include_control_flow=self.options.use_fractional_gates is None
-                or not self.options.use_fractional_gates,
-                include_fractional_gates=self.options.use_fractional_gates is None
-                or self.options.use_fractional_gates,
             )
 
     @classmethod
@@ -337,19 +331,14 @@ def target_history(self, datetime: Optional[python_datetime] = None) -> Target:
             configuration=self._configuration,  # type: ignore[arg-type]
             properties=self.properties(datetime=datetime),  # pylint: disable=unexpected-keyword-arg
             defaults=self._defaults,
-            # In IBM backend architecture as of today
-            # these features can be only exclusively supported.
-            include_control_flow=self.options.use_fractional_gates is None
-            or not self.options.use_fractional_gates,
-            include_fractional_gates=self.options.use_fractional_gates
-            or self.options.use_fractional_gates,
         )
 
     def refresh(self) -> None:
         """Retrieve the newest backend configuration and refresh the current backend target."""
         if config := configuration_from_server_data(
             raw_config=self._service._api_client.backend_configuration(self.name, refresh=True),
             instance=self._instance,
+            use_fractional_gates=self.options.use_fractional_gates,
         ):
             self._configuration = config
         self.properties(refresh=True)  # pylint: disable=unexpected-keyword-arg
@@ -402,7 +391,10 @@ def properties(
             api_properties = self._api_client.backend_properties(self.name, datetime=datetime)
             if not api_properties:
                 return None
-            backend_properties = properties_from_server_data(api_properties)
+            backend_properties = properties_from_server_data(
+                api_properties,
+                use_fractional_gates=self.options.use_fractional_gates,
+            )
             if datetime:  # Don't cache result.
                 return backend_properties
             self._properties = backend_properties