Platform Support

The followings are the OS and hardware architecture we support.

It’s basically following the platform support of Qiskit.

Available Python Version

Available Python Version Downloads

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

Available System Available System Available System Available System

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

  1. All CPython builds are based on the 3.9+ CPython ABI.

  2. 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.

  3. All Linux builds are based on manylinux2014, consistent with Qiskit’s approach for their Linux builds.

  4. 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)

    • 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.