Fetch update from main

Author: Shaobo-Zhou

pyproject.toml

@@ -30,9 +30,12 @@ dynamic = ["version"]
 
 dependencies = [
     "mqt.bench>=2.0.0",
-    "qiskit!=1.3.2", # 1.3.2 causes a Qiskit error when using the CommutativeInverseCancellation pass, see https://github.com/Qiskit/qiskit/issues/13742
+    "qiskit>=1.3.3",
     "pytket>=1.29.0", # lowest version that supports the used pytket AutoRebase pass instead of auto_rebase
     "pytket_qiskit>=0.71.0",
+    # TODO(denialhaag): Remove once pytket_qiskit is updated
+    #   https://github.com/munich-quantum-toolkit/predictor/issues/471
+    "qiskit-ibm-runtime>=0.30.0,<0.42.0",
     "sb3_contrib>=2.0.0",
     "stable-baselines3>=2.7.0",
     "tqdm>=4.66.0",
@@ -47,7 +50,6 @@ dependencies = [
     "numpy>=1.22,<2; sys_platform == 'darwin' and 'x86_64' in platform_machine and python_version < '3.13'",  # Restrict numpy v2 for macOS x86 since it is not supported anymore since torch v2.3.0
     "torch>=2.8.0,<2.9.0; sys_platform == 'darwin' and 'x86_64' in platform_machine and python_version < '3.13'",  # Restrict torch v2.3.0 for macOS x86 since it is not supported anymore.
     "typing-extensions>=4.1",  # for `assert_never`
-    "qiskit_ibm_runtime>=0.40.0,<0.42.0",
     "qiskit-ibm-transpiler==0.13.1; python_version < '3.13'", # Do not support python 3.13 yet
     "qiskit-ibm-ai-local-transpiler==0.4.2; python_version < '3.13'",
 ]

src/mqt/predictor/rl/parsing.py

@@ -18,6 +18,7 @@
 from pytket.circuit import Node
 from pytket.placement import place_with_map
 from qiskit import QuantumCircuit, QuantumRegister
+from qiskit.converters import circuit_to_dag, dag_to_circuit
 from qiskit.transpiler import Layout, PassManager, Target, TranspileLayout
 from qiskit.transpiler.passes import ApplyLayout
 
@@ -239,8 +240,8 @@ def postprocess_vf2postlayout(
     apply_layout.property_set["final_layout"] = layout_before.final_layout
     apply_layout.property_set["post_layout"] = post_layout
 
-    altered_qc = apply_layout(qc)
-    return altered_qc, apply_layout
+    altered_qc = apply_layout.run(circuit_to_dag(qc))
+    return dag_to_circuit(altered_qc), apply_layout
 
 
 def prepare_noise_data(device: Target) -> tuple[dict[Node, float], dict[tuple[Node, Node], float], dict[Node, float]]: