Platform Support#

The followings are the OS and hardware architecture we support.

It’s basically following the platform support of Qiskit.

Available Python Version#

Qurrium 📏 is written in Python 3.9 type annotation. It can’t and won’t support Python 3.8 and below since they are too old.

Available Operation System and Processor Architecture#

We strongly recommend to use Linux based system, due to Python multiprocessing may exist some unknown issue on Windows and the GPU acceleration of Qiskit, qiskit-aer-gpu only works with Nvidia CUDA on Linux.

Availability#

	macos x86_64	macos universal2	macos ARM64	windows amd64	windows win32	windows arm64	linux x86_64	linux i686	linux aarch64
CPython 3.9~3.13	ℹ️ ⁴	✅	✅	✅	✅	ℹ️ ²	✅ ³	✅ ³	✅ ³

All CPython builds are based on the 3.9+ CPython ABI.
windows_arm64 builds will provide irregularly. Also they have not been properly tested, as we do not have access to such a machine for testing. Also this build is not in platform support of qiskit and qiskit-aer.
All Linux builds are based on manylinux2014, consistent with Qiskit’s approach for their Linux builds.
macos_x86_64 builds no longer provided since 0.13.0, as Apple has transitioned to ARM64 architecture a.k.a. Apple Silicon. Consider using universal2 builds instead, which support both x86_64 and arm64 architectures. Usually, your pip install will automatically select the appropriate architecture based on your system.

All ManyLinux 2014 compatible distro

Ubuntu 18.04+ LTS, Rocky Linux, …
- Linux x86_64 Distribution will be first distribution to get the latest Qurrium 📏 release.
- on x86_64 (recommended)
  - Synology NAS with a finely-tuned Python environment.
    - “Your NAS can also perform Quantum Computing!” 🤯
- on x86_64 Windows 10/11 WSL2 (recommended)
- on aarch64
  - Fujitsu Quantum Simulator with qiskit-qulacs making qulacs as a qiskit backend to run.
  - Android Terminal emulator Termux with proot-distro, so you can run this on your Android device if you know how to do.
    - If you want to try this, I suggest using the devices with sufficient performance CPU like Qualcomm Snapdragon 865 with 10GiB RAM at least.
    - See “Quantum computing right at your fingertips” 🙂
    - iSH on iOS/iPadOS can not even handle python environment building although iPad has powerful performance 😦
Windows 10/11
- on x86_64
  - For Windows users, we recommend using the Windows Subsystem for Linux (WSL) with Ubuntu 18.04+ LTS for better compatibility and performance.
- on x86_32
- on ARM64 (not guaranteed)
  - Disclaimer: Although we provide the distribution for Windows ARM, we cannot guarantee its functionality.
  - Since this distribution was built using cross-compilation, and we don’t have a Windows ARM device for it’s rare, full testing could not be performed.
MacOS 11+
- on arm64 (Apple Silicon)
- on x86_64 (Intel chips)
  - We provide arm64 and universal2 wheels for installation.

Dependencies#

with required modules: qiskit, tqdm, requests
with optional modules:
- qiskit-aer: The Qiskit simulator with more performance.
- qiskit-aer-gpu: The CUDA acceleration only on Linux.
  - qiskit-aer-gpu-cu11: Extra support for CUDA11.
- jax: The JAX acceleration for the post-processing of ClassicalShadow.