Added IonQProvider token

qlbm/qlbm_sample_app.py

@@ -608,7 +608,7 @@ def run_sampling_hw_ibm(
 
 from qiskit_ionq import IonQProvider
 
-provider = IonQProvider("qDwgg6JWfESewd6hbrxLL7e6H8OU0yop")
+provider = IonQProvider("slZCfQN3gptIiuswZ3TULhRu37kOhrlW")
 
 def run_sampling_hw_ionq(
     n,
@@ -624,7 +624,7 @@ def run_sampling_hw_ionq(
     flag_qubits=True
 ):
   """
-  Run QLBM simulation on IBM quantum hardware.
+  Run QLBM simulation on IonQ quantum hardware.
   
   Parameters
   ----------
@@ -666,14 +666,17 @@ def run_sampling_hw_ionq(
   # if type(init_state_prep_circ)==str:
   #   init_state_prep_circ=get_named_init_state_circuit(n,init_state_prep_circ)
 
-  qc_list=get_circuit(n,ux,uy,uz,init_state_prep_circ,T_list,vel_resolution,flag_qubits=flag_qubits,midcircuit_meas=False)
-
+  # backend = provider.get_backend("simulator")
   backend = provider.get_backend("qpu.forte-enterprise-1")
 
+  qc_list=get_circuit(n,ux,uy,uz,init_state_prep_circ,T_list,vel_resolution,flag_qubits=flag_qubits,midcircuit_meas=False)
+
   # Create Sampler primitive bound to the backend
 
   job = backend.run(qc_list, shots=shots)
 
+  # job = backend.retrieve_job("019b0aec-36d7-749a-89f2-c36382b3aa1c")
+
   # sampler = Sampler(mode=backend)
 
   # # Submit job: pass a list of PUBs (we send one PUB [qc_compiled])
@@ -1064,20 +1067,13 @@ if __name__=="__main__":
 
   n=3
 
-  # # Step 1: Create the initial state circuit ONCE with all parameters
+  # Step 1: Create the initial state circuit ONCE with all parameters
   # init_state_prep_circ = get_named_init_state_circuit(
   #     n=n,
   #     init_state_name="multi_dirac_delta",  # or "gaussian", "dirac_delta"
-  #     sine_k_x=1.0,
-  #     sine_k_y=1.0,
-  #     sine_k_z=1.0
-  #     # gauss_cx=0.5,  # Uncomment for Gaussian
-  #     # gauss_cy=0.5,
-  #     # gauss_cz=0.5,
-  #     # gauss_sigma=0.2,
   # )
-  
-  #   # Alternative: Run on local simulator
+
+  # # Alternative: Run on local simulator
   # output, fig = run_sampling_sim(
   #     n=n,
   #     ux="sin(-2*pi*z)",
@@ -1087,7 +1083,9 @@ if __name__=="__main__":
   #     T_list=[1,3,5,7,9],
   #     vel_resolution=16
   # )
+
   # print(output)
+
   # fig.show(renderer="browser")
 
   # Step 2: (Optional) Preview the initial distribution
@@ -1101,33 +1099,13 @@ if __name__=="__main__":
       uz="1",
       init_state_prep_circ="multi_dirac_delta",  # Pass the circuit directly
       T_list=[1,2],
-      shots=2**19,
+      shots=2**15,
       vel_resolution=2,
-      output_resolution=16,
-      flag_qubits=True
+      output_resolution=16
   )
 
-  # from qiskit_ibm_runtime import QiskitRuntimeService
-
-  # service = QiskitRuntimeService(
-  #     channel='ibm_quantum_platform', token="UMeZUDI5D7fjPJHD5x3MJFwURg4PrGzBnTm142ka9-Hj",
-  #     instance='crn:v1:bluemix:public:quantum-computing:us-east:a/15157e4350c04a9dab51b8b8a4a93c86:e29afd91-64bf-4a82-8dbf-731e6c213595::'
-  # )
-  # job = service.job('d4spkn3her1c73bdjelg')
-  # job_result = job.result()
-
-  # To get counts for a particular pub result, use
-  #
-  # pub_result = job_result[<idx>].data.<classical register>.get_counts()
-  #
-  # where <idx> is the index of the pub and <classical register> is the name of the classical register.
-  # You can use circuit.cregs to find the name of the classical registers.
-
   output,fig = get_job_result(job)
   fig.show(renderer="browser")
 
-  # for xx, yy, zz, dens in output:
-  #   plot_density_isosurface(xx, yy, zz, dens)
-