# Issues when using PennyLane Lightning GPU **URL:** \ **Category:** PennyLane Help\ **Created:** [May 23, 2024, 11:04am UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649 "2024-05-23T11:04:57Z")\ **Posts on this page:** 8\ **Page:** 1
**Author:** ![zebing\_wang](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/zebing_wang/32/2594_2.png) [@zebing\_wang](https://discuss.pennylane.ai/u/zebing_wang)\ **Post date:** [May 23, 2024, 11:04am UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/1 "2024-05-23T11:04:57Z")
Hello! I am using `lightning.gpu` to accelerate my quantum simulator, but I got an error when I ran it. Here is the code I am testing: ```auto dev = qml.device("lightning.gpu", wires=1) ``` The error I got is: ```auto Traceback (most recent call last): File "", line 1, in File ".../anaconda/anaconda3/envs/QAG/lib/python3.10/site-packages/pennylane/ __init__.py", line 393, in device dev = plugin_device_class(*args, **options) File ".../anaconda/anaconda3/envs/QAG/lib/python3.10/site-packages/pennylane_lightning/lightning_gpu/lightning_gpu.py", line 254, in __init__ super(). __init__ (wires, shots=shots, c_dtype=c_dtype) File ".../anaconda/anaconda3/envs/QAG/lib/python3.10/site-packages/pennylane_lightning/core/lightning_base.py", line 74, in __init__ raise ImportError( ImportError: Pre-compiled binaries for lightning.gpu are not available. To manually compile from source, follow the instructions at https://pennylane-lightning.readthedocs.io/en/latest/installation.html. ``` The version of PennyLane I am using is shown bellow: ```auto Name: PennyLane Version: 0.36.0 Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network. Home-page: https://github.com/PennyLaneAI/pennylane Author: Author-email: License: Apache License 2.0 Location: .../anaconda/anaconda3/envs/QAG/lib/python3.10/site-packages Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, pennylane-lightning, requests, rustworkx, scipy, semantic-version, toml, typing-extensions Required-by: PennyLane_Lightning, PennyLane_Lightning_GPU, PennyLane_Lightning_Kokkos, Quantum_Angle_Generator Platform info: Linux-3.10.0-1160.105.1.el7.x86_64-x86_64-with-glibc2.17 Python version: 3.10.14 Numpy version: 1.26.4 Scipy version: 1.13.0 Installed devices: - lightning.gpu (PennyLane_Lightning_GPU-0.36.0) - default.clifford (PennyLane-0.36.0) - default.gaussian (PennyLane-0.36.0) - default.mixed (PennyLane-0.36.0) - default.qubit (PennyLane-0.36.0) - default.qubit.autograd (PennyLane-0.36.0) - default.qubit.jax (PennyLane-0.36.0) - default.qubit.legacy (PennyLane-0.36.0) - default.qubit.tf (PennyLane-0.36.0) - default.qubit.torch (PennyLane-0.36.0) - default.qutrit (PennyLane-0.36.0) - default.qutrit.mixed (PennyLane-0.36.0) - null.qubit (PennyLane-0.36.0) - lightning.kokkos (PennyLane_Lightning_Kokkos-0.36.0) - lightning.qubit (PennyLane_Lightning-0.36.0) ``` The status of my GPU, as displayed by `nvidia-smi` , is ```auto Thu May 23 19:04:02 2024 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla V100-SXM2... On | 00000000:15:00.0 Off | 0 | | N/A 41C P0 43W / 300W | 0MiB / 32768MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ | 1 Tesla V100-SXM2... On | 00000000:16:00.0 Off | 0 | | N/A 42C P0 45W / 300W | 0MiB / 32768MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ I would greatly appreciate any guidance or insights to help address this issue. Thank you! ``` ---
**Author:** ![CatalinaAlbornoz](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/catalinaalbornoz/32/1196_2.png) [@CatalinaAlbornoz](https://discuss.pennylane.ai/u/CatalinaAlbornoz)\ **Post date:** [May 24, 2024, 3:59pm UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/2 "2024-05-24T15:59:37Z")
Hi @zebing_wang , Welcome to the forum! How did you install Lightning GPU? I recommend that you follow these steps: 1. Create a new conda environment with: `conda create --name name_of_your_environment python=3.10` 2. Activate the environment: `conda activate name_of_your_environment` 3. Install PennyLane and Lightning with `python -m pip install pennylane pennylane-lightning pennylane-lightning-gpu --upgrade` to ensure the version is the most recent (v0.36 as of writing). 4. `pip install custatevec-cu11` to bring in the CUDA 11 variant of the NVIDIA cuQuantum custatevec library. Let me know if this works for you. ---
**Author:** ![zebing\_wang](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/zebing_wang/32/2594_2.png) [@zebing\_wang](https://discuss.pennylane.ai/u/zebing_wang)\ **Post date:** [May 25, 2024, 1:17pm UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/4 "2024-05-25T13:17:13Z")
Hi, Thanks for your fast reply. I have try the steps you show me to reinstall all the packages. But the error are same when I run: ```auto dev = qml.device("lightning.gpu", wires=1) ``` Thanks! ---
**Author:** ![Christophe\_Pere](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/christophe_pere/32/2417_2.png) [@Christophe\_Pere](https://discuss.pennylane.ai/u/Christophe_Pere)\ **Post date:** [May 27, 2024, 8:31pm UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/5 "2024-05-27T20:31:19Z")
HI @zebing_wang, `lightning.gpu` uses cuQuantum and CUDA. It can be a cause if you have incompatible versions. Best ---
**Author:** ![zebing\_wang](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/zebing_wang/32/2594_2.png) [@zebing\_wang](https://discuss.pennylane.ai/u/zebing_wang)\ **Post date:** [May 28, 2024, 3:27am UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/6 "2024-05-28T03:27:36Z")
Hi, The version of my cuQuantum is: ```auto contourpy 1.2.1 cupy 13.1.0 cupy-cuda11x 13.1.0 cuquantum-python-cu11 24.3.0 custatevec-cu11 1.6.0.post1 cutensor-cu11 2.0.1 cutensornet-cu11 2.4.0.post1 ``` The version of CUDA I am using is 11.7 I believe, I got it from `nvidia-smi`: ```auto Tue May 28 11:22:44 2024 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla V100-SXM2... On | 00000000:1F:00.0 Off | 0 | | N/A 31C P0 43W / 300W | 0MiB / 32768MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ ``` So, I thought the version was correct, right? Thanks! ---
**Author:** ![CatalinaAlbornoz](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/catalinaalbornoz/32/1196_2.png) [@CatalinaAlbornoz](https://discuss.pennylane.ai/u/CatalinaAlbornoz)\ **Post date:** [May 28, 2024, 5:36pm UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/7 "2024-05-28T17:36:04Z")
Hi @zebing_wang , Maybe it’s an issue with the NVIDIA drivers. Does it work if you install the following in a new environment? So following steps 1, 2 and 3 from before and replacing step 4 with the line below ```auto python -m pip install nvidia-cusparse-cu11 nvidia-cublas-cu11 nvidia-cuda-runtime-cu11 custatevec-cu11 ``` ---
**Author:** ![zebing\_wang](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/zebing_wang/32/2594_2.png) [@zebing\_wang](https://discuss.pennylane.ai/u/zebing_wang)\ **Post date:** [May 30, 2024, 6:32am UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/8 "2024-05-30T06:32:26Z")
Hi, I have try the steps you show me here. But the issue is still there. Thanks! ---
**Author:** ![mlxd](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/mlxd/32/526_2.png) [@mlxd](https://discuss.pennylane.ai/u/mlxd)\ **Post date:** [May 30, 2024, 3:15pm UTC](https://discuss.pennylane.ai/t/issues-when-using-pennylane-lightning-gpu/4649/9 "2024-05-30T15:15:51Z")
Hi @zebing_wang The recent versions of LightningGPU (0.35 and 0.36) migrated to use CUDA 12 by default (release notes for 0.35 [here](https://github.com/PennyLaneAI/pennylane-lightning/releases/tag/v0.35.0)). If you are running a CUDA 11 system, you can try to download the CUDA 12 runtime libraries with: ```bash python -m pip install nvidia-cusparse-cu12 nvidia-cublas-cu12 nvidia-cuda-runtime-cu12 custatevec-cu12 ``` rather than the CUDA 11 versions. Assuming your driver is recent enough, the CUDA 12 libraries should work. Also, please ensure the version of LightningGpu is installed from [PennyLane-Lightning-GPU · PyPI](https://pypi.org/project/PennyLane-Lightning-GPU/#files) — if you are running on a managed HPC system, it is possible your administrators may intercept and prevent outside libraries, which may also stop you from having the pre-built wheels being installed. If so, you can manually download the wheel from that URL and install it directly with pip. Let us know if this helps.