qiskit-aer: [qiskit-aer-gpu] ImportError: libcustatevec.so.1

Informations

• Qiskit Aer version: qiskit-aer-gpu 0.12.2
• Python version: 3.11
• Operating system: Ubuntu 22.04
• CUDA version: 12.1.1 / 11.8.0

What is the current behavior?

If I run the following procedure in a very clean environment, I will get a library load error and not be able to use qiskit_aer.

>>> import qiskit_aer

Traceback (most recent call last): File “<stdin>”, line 1, in <module> … ImportError: libcustatevec.so.1: cannot open shared object file: No such file or directory

Steps to reproduce the problem

1. Create a clean environment. For example, use the following docker images:

• docker/python311-ubutnu22/cuda121
• docker/python311-ubutnu22/cuda118

1. Enter a clean environment. e.g., docker run -it --rm --gpus all python311:ubuntu22-cuda121 if you will use docker images above.

2. Set up qiskit-aer-gpu with the following steps

pip install qiskit
pip uninstall -y qiskit-aer
pip install "qiskit-aer-gpu==0.12.2"

(For CUDA 11.8 the last line would be pip install "qiskit-aer-gpu-cu11==0.12.2".)

1. Run python -c "import qiskit_aer"

What is the expected behavior?

Importing qiskit_aer will successfully finish.

Suggested solutions

It would be nice if the library paths (LD_LIBRARY_PATH) could be properly set. One work around would be:

mkdir -p /usr/local/nvidia/lib64
ln -s /usr/local/lib/python3.11/site-packages/cuquantum/lib/libcustatevec.so.1 /usr/local/nvidia/lib64/libcustatevec.so.1
ln -s /usr/local/lib/python3.11/site-packages/cuquantum/lib/libcutensornet.so.2 /usr/local/nvidia/lib64/libcutensornet.so.2
ln -s /usr/local/lib/python3.11/site-packages/cutensor/lib/libcutensor.so.1 /usr/local/nvidia/lib64/libcutensor.so.1