QLBM IBM Qiskit Simulator: This wrapper maps the simulation loop's 0-100% progress to the overall task

qlbm/qlbm_sample_app.py

@@ -718,6 +718,7 @@ def run_sampling_sim(
     init_state_prep_circ,
     T_list,
     vel_resolution=32,
+    progress_callback=None,
 ):
   """
   Run QLBM simulation on local Aer statevector simulator.
@@ -734,6 +735,8 @@ def run_sampling_sim(
       List of timesteps to simulate
   vel_resolution : int
       Resolution for velocity field discretization
+  progress_callback : callable, optional
+      Function to report progress (0-100)
   
   Returns
   -------
@@ -767,7 +770,12 @@ def run_sampling_sim(
   backend = AerSimulator(method = 'statevector')
   output=[]
 
-  for qc in qc_list:
+  total_steps = len(qc_list)
+  for i, qc in enumerate(qc_list):
+    if progress_callback:
+      percent = int((i / total_steps) * 100)
+      progress_callback(percent)
+
     qc_transpiled=qc
     qc_transpiled.save_statevector(conditional=True)
 

qlbm_embedded.py

@@ -1153,6 +1153,13 @@ def _run_qiskit_simulation(progress_callback=None):
     # Determine velocity resolution (cap for performance)
     vel_resolution = min(params['grid_size'], 32)
     
+    # Define a progress wrapper to map 0-100% simulation progress to 15-95% overall progress
+    def sim_progress_wrapper(p):
+        if progress_callback:
+            # Map 0-100 -> 15-95
+            weighted_p = 15 + (p / 100.0) * (95 - 15)
+            progress_callback(weighted_p)
+
     # Run simulation using qlbm_sample_app function
     output, fig = run_sampling_sim(
         n=params["n"],
@@ -1162,6 +1169,7 @@ def _run_qiskit_simulation(progress_callback=None):
         init_state_prep_circ=init_state_prep_circ,
         T_list=params["T_list"],
         vel_resolution=vel_resolution,
+        progress_callback=sim_progress_wrapper,
     )
     
     if progress_callback: