"Segmentation fault (core dumped)" after installing the required sparse library in a Qiskit env (conda virtual env)

Hi,

We encountered a serious issue when running jupyter notebook code with the support of sparse library.
Can someone help?

Thanks!

Describe the bug
In a Qiskit 0.30 conda virtual env, after installing the required sparse library using pip, the ipython run will error out with
"Segmentation fault (core dumped)" message.
issue_with_sparse.log

To Reproduce

1. Activate conda virtual env and run the "01_neural_networks.ipynb" sample code with below commands:

conda activate qiskit0.30_test
ipython -c "%run 01_neural_networks.ipynb"
This will prompt you to install the sparse library.

2. Install sparse library by executing "pip install 'qiskit-machine-learning[sparse]'" inside the conda virtual env
3. Rerun the "01_neural_networks.ipynb" sample code will produce the "Segmenttation fault" error.

Expected behavior
expect no prompt for install sparse library and no errors popped up for the ipython run

System

• OS and version: RHEL 8.4 (s390x)
• Conda: 4.10.1
• Sparse: version: 0.13.0
• NumPy version: 1.20.3
• Numba version: 0.54.1

Additional context
Add any other context about the problem here.

Start with issue_with_sparse.log and reproduce the failure using 01_neural_networks.ipynb and the listed ipython command in the qiskit0.30_test environment. Compare the RHEL 8.4 s390x versions of Sparse, NumPy, and Numba, and document a confirmed cause or compatibility fix when the notebook runs without prompting or segfaulting.