VQE Error - Githubissues

Informations

Qiskit version: 0.43.1
Python version: 3.11.4
Operating system: Windows 11 OS

What is the current behavior?

  ---------------------------------------------------------------------------
IBMRuntimeError                           Traceback (most recent call last)
File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\minimum_eigensolvers\vqe.py:253, in VQE._get_evaluate_energy..evaluate_energy(parameters)
    252 try:
--> 253     job = self.estimator.run(batch_size * [ansatz], batch_size * [operator], parameters)
    254     estimator_result = job.result()

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit_ibm_runtime\estimator.py:179, in Estimator.run(self, circuits, observables, parameter_values, **kwargs)
    178 user_kwargs = {"_user_kwargs": kwargs}
--> 179 return super().run(
    180     circuits=circuits,
    181     observables=observables,
    182     parameter_values=parameter_values,
    183     **user_kwargs,
    184 )

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\primitives\base\base_estimator.py:185, in BaseEstimator.run(self, circuits, observables, parameter_values, **run_options)
    183 run_opts.update_options(**run_options)
--> 185 return self._run(
    186     circuits,
    187     observables,
    188     parameter_values,
    189     **run_opts.__dict__,
    190 )

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit_ibm_runtime\estimator.py:262, in Estimator._run(self, circuits, observables, parameter_values, **kwargs)
    260         backend_obj.check_faulty(circ)
--> 262 return self._session.run(
    263     program_id=self._PROGRAM_ID,
    264     inputs=inputs,
    265     options=Options._get_runtime_options(combined),
    266     callback=combined.get("environment", {}).get("callback", None),
    267     result_decoder=DEFAULT_DECODERS.get(self._PROGRAM_ID),
    268 )

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit_ibm_runtime\session.py:39, in _active_session.._wrapper(self, *args, **kwargs)
     38     raise RuntimeError("The session is closed.")
---> 39 return func(self, *args, **kwargs)

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit_ibm_runtime\session.py:182, in Session.run(self, program_id, inputs, options, callback, result_decoder)
    180     options["session_time"] = self._max_time
--> 182 job = self._service.run(
    183     program_id=program_id,
    184     options=options,
    185     inputs=inputs,
    186     session_id=self._session_id,
    187     start_session=self._session_id is None,
    188     callback=callback,
    189     result_decoder=result_decoder,
    190 )
    192 if self._session_id is None:

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit_ibm_runtime\qiskit_runtime_service.py:1022, in QiskitRuntimeService.run(self, program_id, inputs, options, callback, result_decoder, session_id, start_session)
   1019         raise RuntimeProgramNotFound(
   1020             f"Program not found: {ex.message}"
   1021         ) from None
-> 1022     raise IBMRuntimeError(f"Failed to run program: {ex}") from None
   1024 backend = self.backend(name=response["backend"], instance=hgp_name)

IBMRuntimeError: 'Failed to run program: \'400 Client Error: Bad Request for url: https://runtime-us-east.quantum-computing.ibm.com/jobs. {"errors":[{"code":1217,"message":"Session has been closed.","solution":"Reduce time between submitting subsequent jobs in a session.","more_info":"https://cloud.ibm.com/apidocs/quantum-computing#error-handling"}],"trace":"ci3hdtm1o26hu34621sg"}\''

The above exception was the direct cause of the following exception:

AlgorithmError                            Traceback (most recent call last)
Cell In[6], line 20
     18 with Session(service=service, backend=backend) as session: 
     19     estimator = RuntimeEstimator(session=session)
---> 20     converge_cnts, converge_vals, result = Run_VQE(a, optimizers, params, estimator)

Cell In[5], line 22, in Run_VQE(a, optimizer, params, estimator)
     20 values = []
     21 vqe = VQE(estimator=estimator, ansatz=a, optimizer=optimizer, initial_point=params, callback=store_intermediate_result)
---> 22 results = vqe.compute_minimum_eigenvalue(operator=h_dvr_p0)
     23 print()
     24 if (best_res1 is None) or (values[-1] <= best_res1):

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\minimum_eigensolvers\vqe.py:191, in VQE.compute_minimum_eigenvalue(self, operator, aux_operators)
    186 else:
    187     # we always want to submit as many estimations per job as possible for minimal
    188     # overhead on the hardware
    189     was_updated = _set_default_batchsize(self.optimizer)
--> 191     optimizer_result = self.optimizer.minimize(
    192         fun=evaluate_energy, x0=initial_point, jac=evaluate_gradient, bounds=bounds
    193     )
    195     # reset to original value
    196     if was_updated:

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\optimizers\spsa.py:558, in SPSA.minimize(self, fun, x0, jac, bounds)
    556 iteration_start = time()
    557 # compute update
--> 558 fx_estimate, update = self._compute_update(fun, x, k, next(eps), lse_solver)
    560 # trust region
    561 if self.trust_region:

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\optimizers\spsa.py:489, in SPSA._compute_update(self, loss, x, k, eps, lse_solver)
    486     num_samples = self.resamplings
    488 # accumulate the number of samples
--> 489 value, gradient, hessian = self._point_estimate(loss, x, eps, num_samples)
    491 # precondition gradient with inverse Hessian, if specified
    492 if self.second_order:

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\optimizers\spsa.py:466, in SPSA._point_estimate(self, loss, x, eps, num_samples)
    463 delta1 = deltas1[i]
    464 delta2 = deltas2[i] if self.second_order else None
--> 466 value_sample, gradient_sample, hessian_sample = self._point_sample(
    467     loss, x, eps, delta1, delta2
    468 )
    469 value_estimate += value_sample
    470 gradient_estimate += gradient_sample

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\optimizers\spsa.py:427, in SPSA._point_sample(self, loss, x, eps, delta1, delta2)
    424     self._nfev += 2
    426 # batch evaluate the points (if possible)
--> 427 values = _batch_evaluate(loss, points, self._max_evals_grouped)
    429 plus = values[0]
    430 minus = values[1]

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\optimizers\spsa.py:748, in _batch_evaluate(function, points, max_evals_grouped, unpack_points)
    746         results += _as_list(function(*batch))
    747     else:
--> 748         results += _as_list(function(batch))
    750 return results

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\qiskit\algorithms\minimum_eigensolvers\vqe.py:256, in VQE._get_evaluate_energy..evaluate_energy(parameters)
    254     estimator_result = job.result()
    255 except Exception as exc:
--> 256     raise AlgorithmError("The primitive job to evaluate the energy failed!") from exc
    258 values = estimator_result.values
    260 if self.callback is not None:

AlgorithmError: 'The primitive job to evaluate the energy failed!'

Steps to reproduce the problem

Not very sure to be honest, but here is my code. I am very new to this so please forgive my vague answers:

from qiskit.algorithms import VQE
def Run_VQE(a, optimizer, params, estimator):
    """ This is the function that runs the VQE."""
    repeat = 1
    params = None
    # params = np.array([float(i) for i in result.optimal_parameters.values()])
    converge_cnts1 = []
    converge_vals1 = []

    print('Optimizer: {}        '.format(type(optimizer).__name__))

    def store_intermediate_result(eval_count, parameters, mean, std):
        counts.append(eval_count)
        values.append(mean)
        print(f'\r{eval_count}, {mean}', end='')
    best_res1 = None

    for j in range(repeat):
        counts = []
        values = []
        vqe = VQE(estimator=estimator, ansatz=a, optimizer=optimizer, initial_point=params, callback=store_intermediate_result)
        results = vqe.compute_minimum_eigenvalue(operator=h_dvr_p0)
        print()
        if (best_res1 is None) or (values[-1] <= best_res1):
            best_res1 = values[-1]
            converge_cnts1 = np.asarray(counts)
            converge_vals1 = np.asarray(values)
    print('\nOptimization complete ')
    return converge_cnts1, converge_vals1, results

What is the expected behavior?

It's just supposed to run at least once properly.

Qiskit / qiskit

VQE Error #10277

Informations

What is the current behavior?

Steps to reproduce the problem

What is the expected behavior?

Suggested solutions