I have been able to run quantum circuits with 27 qubits using pennylane’s lightning.gpu. My circuit only returns one observation expectation value. I checked the GPU usage and found that only one GPU and its memory (40 GiB for A100) was used although I set ‘#SBATCH --gpus-per-task=2’ (or even set i…

Hi @Jim , Unfortunately we do not support splitting one observable into multiple GPUs. If you had more observables you could split them into multiple GPUs by following the instructions here . Something else you could try is using circuit cutting. I’m not sure whether it will work with GPUs but it co…

Hi @CatalinaAlbornoz , Thank you for your response! Hopefully, pennylane can support splitting one observable into multiple GPUs in the future such that it can simulate more qubits. Thank you for the information on circuit cutting which looks interesting. I will take a more close look. I appreciat…

Hi @Jim Just to jump in also. We have decided not to add single-node, multi-GPU support to our current roadmap. While I understand this can be beneficial to increase the qubit count by 1 or 2, we see this as limited utility compared to the experiences we have with circuit cutting. As Catalina sugge…

Hi @mlxd Thanks a lot for your useful information. I agree that multi-node multi-GPU statevector simulation is great as one node is just a subset of it. I am very much looking forward to a pennylane version that can run quantum circuits with 30s-40s qubits using a large number of HPC. Also, the ci…

Hi @Jim - we created app.bluequbit.io just for that - running 32+ qubit simulations with multiple GPUs. Give it a try and let us know what you think! Disclaimer: we are not associated with Pennylane.

Hi @Hayk_Tepanyan Good to know! One question, can the bluequbit be installed and run on my own computer (CPU or GPU)? Thanks!

Hi @Jim , yes - you only need to pip install bluequbit after which you can submit your cirq or qiskit circuits to our CPU (up to 34 qubits) or GPU (up to 35 qubits) simulators. More info in our docs . You can also email me at hayk@bluequbit.io your questions / feedback!

Hi @Hayk_Tepanyan , thank you for your suggestion here. Just one clarification, I can see that bluequbit can be installed locally but you mention that circuits would run on your CPU or GPU. This means that in fact you cannot locally run the circuits right? I just want to make the clarification to m…

Hi @CatalinaAlbornoz , That is correct - the circuits will be run in our CPU or GPU. Locally you would need very large machines (128GB+ memory) to run 32+ qubit circuits. That’s the value that bluequbit brings actually - you code in your laptop but use our Large Machines to simulate large circuits…

Hi @CatalinaAlbornoz Thank you so much for your question, that is exactly what I was asking. Hi @Hayk_Tepanyan Thank you very much for your answer, which is very clear now. I agree that running 32+ qubit circuits needs large memory and is not suitable for a laptop or PC. I also noted that bluequb…

Hi @Jim Right now you can immediately make use of our lightning.qubit or our newly released lightning.kokkos (pip install pennylane-lightning-kokkos) backends — if a HPC node has a large pool of memory, and/or CPU cores, you should be able to hit 30-32 qubits in the forward pass, and maybe a few le…

Pennylane lightning.gpu, 28+ qubits quantum circuit

PennyLane Help

Jim March 9, 2023, 9:20pm 15

Hi @zj-lucky
These two links would probably be helpful to you.

Topic		Replies	Views
Lightning-gpu failing on multi-node/multi gpus PennyLane Help	23	1512	November 29, 2023
"lightning.gpu" will be squeezed out by other programs running on the server PennyLane Help	2	448	March 15, 2023
Pennylane Multi-GPU support PennyLane Help	8	664	November 21, 2024
Pennylane-Lightning GPU PennyLane Lightning	15	2050	July 20, 2023
Maximum Qubit Support on GPU machine with different backend simulators PennyLane Help	4	714	October 6, 2023

Pennylane lightning.gpu, 28+ qubits quantum circuit

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