Kernel dead error

[hkndoga]

Kernel dead error

[kevinsung]

You are running a modified version? Does the original notebook work?

What git commit of qiskit-research are you running?

[hkndoga]

I actually tried a few different protein structure to compare and maybe this can help. The error above happened when I ran a longer protein sequence with 15 amino acids. I tried to run a shorter one today with only 6 amino acids and obtained the following error:

ValueError Traceback (most recent call last)
Cell In[34], line 1
----> 1 raw_result = vqe.compute_minimum_eigenvalue(qubit_op)
2 print(raw_result)

File c:\Users\8J6010897\AppData\Local\anaconda3\lib\site-packages\qiskit\algorithms\minimum_eigen_solvers\vqe.py:546, in VQE.compute_minimum_eigenvalue(self, operator, aux_operators)
542 opt_result = self.optimizer( # pylint: disable=not-callable
543 fun=energy_evaluation, x0=initial_point, jac=gradient, bounds=bounds
544 )
545 else:
--> 546 opt_result = self.optimizer.minimize(
547 fun=energy_evaluation, x0=initial_point, jac=gradient, bounds=bounds
548 )
550 eval_time = time() - start_time
552 result = VQEResult()

File c:\Users\8J6010897\AppData\Local\anaconda3\lib\site-packages\qiskit\algorithms\optimizers\scipy_optimizer.py:148, in SciPyOptimizer.minimize(self, fun, x0, jac, bounds)
145 swapped_deprecated_args = True
146 self._options["maxfun"] = self._options.pop("maxiter")
--> 148 raw_result = minimize(
149 fun=fun,
150 x0=x0,
151 method=self._method,
152 jac=jac,
...
--> 241 raise ValueError("Unsupported input to CVaRMeasurement.eval:", type(front))
243 obs = self.primitive
244 outcomes = list(data.items())

ValueError: ('Unsupported input to CVaRMeasurement.eval:', )

[kevinsung]

What git commit of qiskit-research are you running?

[hkndoga]

I believe it is: qiskit_research 0.0.1

[kevinsung]

To get the git commit, you can run

git rev-parse HEAD

from the root directory of the qiskit-research repository.

[hkndoga]

This is what I receive when I run it: 31406c5

[kevinsung]

You mentioned that you modified the notebook before running it. If you run the notebook exactly as it appears in the repository, without any changes, does it work?

[hkndoga]

Yes, I can run the original code with no issues! I realized that when initializing the VQE with CVar, I was supposed to use SamplingVQE. Sorry for all the trouble and thanks a lot for your help! The code works fine now!

[kevinsung]

Ok. Please close this issue if it is resolved.