job_data.append({
'Date': job.
creation_date, # Put a dictionary of info of the current job in job_data
'Jobid': job.id,
'runtype': run_type,
'batchno': i
})
print('Batch %d/%d: %s' % (i + 1, nr_batches, 'SENT')
) # This batch is done and the jobs are saved to job_data and jobs
###############################################################################
store.save_jobdata(
circuit_name,
job_data,
tomo_set, # Save the data of all jobs (in job_data) to file
backendname,
shots,
nr_batches,
run_type,
Unitary)
store.save_last(
circuit_name,
job_data,
tomo_set,
backendname, # Save also to 'last' file
shots,
nr_batches,
run_type,
Unitary)
unregister(
circuit_list.append(Q_program.get_circuit(cir))
print('Batch %d/%d: %s' % (i + 1, nr_batches, 'INITIALIZING'))
if i == 0:
job = execute(circuit_list, backend=backendname, shots=shots)
jobs.append(job)
job_data.append({
'Date': job.creation_date,
'Jobid': job.id,
'runtype': run_type,
'batchno': i
})
print('Batch %d/%d: %s' % (i + 1, nr_batches, 'SENT'))
else:
job = execute(circuit_list, backend=backendname, shots=shots)
jobs.append(job)
job_data.append({
'Date': job.creation_date,
'Jobid': job.id,
'runtype': run_type,
'batchno': i
})
print('Batch %d/%d: %s' % (i + 1, nr_batches, 'SENT'))
###############################################################################
store.save_jobdata(circuit_name, job_data, tomo_set, backendname, shots,
nr_batches, run_type, Unitary)
store.save_last(circuit_name, job_data, tomo_set, backendname, shots,
nr_batches, run_type, Unitary)
unregister(provider)