...
Test with Qiskit Simulator
[2022-10-20 14:54:45.934] Before transpile: {'depth': 28, 'size': 77, 'width': 8, 'n_single_gates': 57, 'n_two_gates': 16, 'n_three_more_gates': 0, 'n_gates_dict': {'ry': 22, 'rz': 19, 'rx': 14, 'cx': 15, 'crx': 1, 'h': 1, 'sx': 1, 'measure': 4}}
[2022-10-20 14:54:46.601] After transpile: {'depth': 26, 'size': 58, 'width': 8, 'n_single_gates': 37, 'n_two_gates': 17, 'n_three_more_gates': 0, 'n_gates_dict': {'ry': 9, 'rz': 8, 'rx': 6, 'u3': 
14, 'cx': 17, 'measure': 4}}
Job Status: job is being initializedSimulation failed and returned the following error message:
ERROR: Failed to load qobj: [json.exception.type_error.302] type must be array, but is number
Job Status: job is being initializedSimulation failed and returned the following error message:
ERROR: Failed to load qobj: [json.exception.type_error.302] type must be array, but is number
Job Status: job is being initializedSimulation failed and returned the following error message:
ERROR: Failed to load qobj: [json.exception.type_error.302] type must be array, but is number
Job Status: job is being initializedSimulation failed and returned the following error message:
ERROR: Failed to load qobj: [json.exception.type_error.302] type must be array, but is number
Simulation failed and returned the following error message:
ERROR: Failed to load qobj: [json.exception.type_error.302] type must be array, but is number
Job Status: job has successfully run

Job Status: job has successfully run
Job Status: job has successfully run
Job Status: job has successfully run




ValueError       (note: full exception trace is shown but execution is paused at: _run_module_as_main)
need at least one array to stack
  File "C:\Users\14491\.conda\envs\quantumNAS\Lib\site-packages\numpy\core\shape_base.py", line 422, in stack
    raise ValueError('need at least one array to stack')
  File "C:\Users\14491\.conda\envs\quantumNAS\Lib\site-packages\torchquantum\utils.py", line 169, in get_expectations_from_counts
    res = np.stack(exps)
  File "C:\Users\14491\.conda\envs\quantumNAS\Lib\site-packages\torchquantum\plugins\qiskit_processor.py", line 314, in process_parameterized
    measured_qiskit = get_expectations_from_counts(
  File "C:\Users\14491\Documents\environment\torchquantum-master\artifact\example1\mnist_example.py", line 71, in forward
    x = self.qiskit_processor.process_parameterized(
  File "C:\Users\14491\.conda\envs\quantumNAS\Lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\Users\14491\Documents\environment\torchquantum-master\artifact\example1\mnist_example.py", line 105, in valid_test
    outputs = model(inputs, use_qiskit=qiskit)
  File "C:\Users\14491\Documents\environment\torchquantum-master\artifact\example1\mnist_example.py", line 191, in main
    valid_test(dataflow, 'test', model, device, qiskit=True)
  File "C:\Users\14491\Documents\environment\torchquantum-master\artifact\example1\mnist_example.py", line 208, in <module>
    main()
  File "C:\Users\14491\.conda\envs\quantumNAS\Lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "C:\Users\14491\.conda\envs\quantumNAS\Lib\runpy.py", line 197, in _run_module_as_main (Current frame)
    return _run_code(code, main_globals, None,