FidelityquantumKernel with aerSimulator in statevector mode and gpu

[luib01]

What should we add?

backend=AerSimulator(method='statevector', device='GPU',blocking_enable=True)

    self.composed_circuit=self.qcircuit.compose(self.feature_map,inplace=False)
    print('Quantum Circuit:')
    print(self.qcircuit)
    print('FEATURE MAP:')
    print(self.composed_circuit)
    #self.composed_circuit=insert_noise(self.composed_circuit,noise_model=noise_model)
    transpiler= generate_preset_pass_manager(backend=backend, optimization_level=3)
    #self.composed_circuit=transpile(circuits=self.composed_circuit,backend=AerSimulator(method='statevector',noise_model=noise_model,device='GPU'),optimization_level=3)
        

        # Create a quantum kernel based on the transpiled feature map
        #Set Primitive sampler
    sampler = qiskit_ibm_runtime.Sampler(backend)
    #sampler.options.default_shots = 100
    print("Noise model inserted form: "+backend.name)
        #self.job=self.backend.run(transpiled)
        #sampler=Sampler(self.backend)
    fidelity=ComputeUncompute(num_virtual_qubits=self.num_qubits,sampler=sampler,pass_manager=transpiler)
    
    kernel=FidelityQuantumKernel(feature_map=self.composed_circuit,fidelity=fidelity,max_circuits_per_job=200)

I have the following error File ~/Progetto/qiskit_machine_learning/kernels/fidelity_quantum_kernel.py:256, in FidelityQuantumKernel._get_kernel_entries(self, left_parameters, right_parameters)
249 job = self._fidelity.run(
250 [self._feature_map] * (end_idx - start_idx),
251 [self._feature_map] * (end_idx - start_idx),
252 chunk_left_parameters, # type: ignore[arg-type]
253 chunk_right_parameters, # type: ignore[arg-type]
254 )
255 # Extend the kernel_entries list with the results from this chunk
--> 256 kernel_entries.extend(job.result().fidelities)
257 return kernel_entries

File ~/.conda/envs/cnr/lib/python3.10/site-packages/qiskit/primitives/primitive_job.py:51, in PrimitiveJob.result(self)
49 def result(self) -> ResultT:
50 self._check_submitted()
---> 51 return self._future.result()

File ~/.conda/envs/cnr/lib/python3.10/concurrent/futures/_base.py:458, in Future.result(self, timeout)
456 raise CancelledError()
457 elif self._state == FINISHED:
--> 458 return self.__get_result()
459 else:
460 raise TimeoutError()

File ~/.conda/envs/cnr/lib/python3.10/concurrent/futures/_base.py:403, in Future.__get_result(self)
401 if self._exception:
402 try:
--> 403 raise self._exception
404 finally:
405 # Break a reference cycle with the exception in self._exception
406 self = None

File ~/.conda/envs/cnr/lib/python3.10/concurrent/futures/thread.py:58, in _WorkItem.run(self)
55 return
57 try:
---> 58 result = self.fn(*self.args, **self.kwargs)
59 except BaseException as exc:
60 self.future.set_exception(exc)

File ~/Progetto/qiskit_machine_learning/state_fidelities/compute_uncompute.py:228, in ComputeUncompute._call(job, circuits, local, local_opts, _sampler, _post_process_v2, num_virtual_qubits)
226 result = job.result()
227 except Exception as exc:
--> 228 raise AlgorithmError("Sampler job failed!") from exc
230 if isinstance(_sampler, BaseSamplerV1):
231 quasi_dists = result.quasi_dists

AlgorithmError: 'Sampler job failed!'