Setup and install the SDK
Quantum Rings SDK supports CPU only or GPU enabled modes. Quantum Rings SDK also supports the CUDA-Q platform in both CPU only or GPU enabled modes.
Choose the version that is appropriate for your hardware, task, and programming skills using the following table.
Choosing the correct version
If you are … |
No NVIDIA GPU (CPU Only mode) |
NVIDIA GPU Available |
If you need Qiskit integration |
|---|---|---|---|
trained in
or
want to use Qiskit-like API
|
|||
interested in using
the CUDA-Q Platform
|
Not Supported |
Minimum System Requirements
A system with a configuration better than the minimum requirements is advised. Lower configurations may affect the number of qubits that can be supported and may perform poorly.
Operating systems supported:
Windows 11 Pro
Google Colab
Debian GNU/Linux 12 (bookworm)
OpenSUSE Tumbleweed - Version 20240415
Oracle Linux 9.3
Ubuntu 22.04.4 LTS
macOS Sequoia
Windows 11 Pro + WSL2 based Linux Installations
64-bit x86 CPU (14 cores 20 logical processors recommended) on Windows or Linux platforms
64-bit Intel or Apple Silicon CPUs on Apple PCs
32 GB Installed physical memory
18 GB Available physical memory
64-bit Python version 3.11 on Windows
64-bit Python 3.11, 3.12, and 3.13 on various Linux versions
64-bit Python 3.13 on macOS
NVIDIA GPU Support
Amphere, compute capabilities 8.0, 8.6
Hopper, compute capability 9.0
or later
A minimum of 4 GB global memory on the GPU and a compute capability of 8.0 is required to run the SDK. The actual amount of memory required depends upon the number of qubits used and the gate operations involved.
If you are a Windows user, you may be benefitted with shorter load times by running the SDK from a WSL based Linux instance.
For a tutorial on installing Linux on Windows using WSL, you may refer: WSL Installation Tutorial