Installation

Quick Install for Python

pip install qulacs

If your CPU is older than Intel Haswell architecture, the binary installed with the above command does not work. In this case, please install Qulacs with the following command. Even if your CPU is newer than Haswell, Qulacs installed with the below command shows better performance but takes a longer time. See “Install Python library from source” section for detail.

pip install git+https://github.com/qulacs/qulacs.git

If you have NVIDIA GPU and CUDA is installed, GPU-version can be installed with the following command:

pip install qulacs-gpu

Install Python library from source

To install Qulacs optimized for your system, we recommend the following install procedure for faster simulation of quantum circuits, while this requires a compiler and takes time for installation. In addition, you can enable or disable optimization features such as SIMD optimization, OpenMP parallelization, and GPU support.

A binary that is installed via pip command is optimized for Haswell architecture. Thus, Qulacs installed via pip command does not work with a CPU older than Haswell. If your CPU is newer than Haswell, Qualcs built from source shows the better performance.

Requirements

  • C++ compiler (gcc or VisualStudio)

    • gcc/g++ >= 7.0.0 (checked in Linux, MacOS, cygwin, MinGW, and WSL)

    • Microsoft VisualStudio C++ 2015 or later

  • Boost >= 1.71.0 (Development environment)
    (Version tested in CI)

    • macOS == 1.90.0

    • Ubuntu == 1.76.0

    • Windows == 1.83.0

  • Python >= 3.9

  • CMake >= 3.21

  • git

  • (option) CUDA >= 8.0

  • (option) AVX2 support

If your system supports AVX2 instructions, SIMD optimization is automatically enabled. If you want to enable GPU simulator, install qulacs through qulacs-gpu package or build from source. Note that qulacs-gpu includes CPU simulator. You don’t need to install both.

Qulacs is tested on the following systems.

  • Ubuntu 24.04

  • macOS 15

  • Windows Server 2022

If you encounter some troubles, see FAQ.

How to install

Install with default options (Multi-thread without GPU):

pip install .

If AVX2 instructions are not supported, SIMD optimization is automatically disabled.

Install with GPU support (CUDA is required):

USE_GPU=Yes pip install .

Install single-thread Qulacs:

USE_OMP=No pip install .

The number of threads used in Qulacs installed with default options can be controlled via the environment variable OMP_NUM_THREADS or QULACS_NUM_THREADS. While OMP_NUM_THREADS affects the parallelization of other libraries, QULACS_NUM_THREADS controls only the parallelization of QULACS. Or, if you want to force only Qulacs to use a single thread, You can install single-thread Qulacs with the above command.

For development purpose, optional dependencies can be installed as follows.

# Install development tools
pip install .[dev]
# Install dependencies for document generation
pip install .[doc]

Uninstall Qulacs:

pip uninstall qulacs

Use Qulacs as C++ library

Build with GCC

Static libraries of Qulacs can be built with the following commands:

git clone https://github.com/qulacs/qulacs.git
cd qulacs
./script/build_gcc.sh

To build shared libraries, execute make shared at ./qulacs/build folder. When you want to build with GPU, use build_gcc_with_gpu.sh instead of build_gcc.sh.

Then, you can build your codes with the following gcc command:

g++ -O2 -I ./<qulacs_path>/include -L ./<qulacs_path>/lib <your_code>.cpp -lvqcsim_static -lcppsim_static -lcsim_static -fopenmp

If you want to run your codes with GPU, include cppsim/state_gpu.hpp and use QuantumStateGpu instead of QuantumState and build with the following command:

nvcc -O2 -I ./<qulacs_path>/include -L ./<qulacs_path>/lib <your_code>.cu -lvqcsim_static -lcppsim_static -lcsim_static -lgpusim_static -D _USE_GPU -lcublas -Xcompiler -fopenmp

Build with MSVC

Static libraries of Qulacs can be built with the following command:

git clone https://github.com/qulacs/qulacs.git
cd qulacs
script/build_msvc_2017.bat

When you want to build with GPU, use build_msvc_2017_with_gpu.bat. If you use MSVC with other versions, use build_msvc_2015.bat or edit the generator name in build_msvc_2017.bat.

Your C++ codes can be built with Qulacs with the following process:

  1. Create an empty project.

  2. Select “x64” as an active solution platform.

  3. Right Click your project name in Solution Explorer, and select “Properties”.

  4. At “VC++ Directories” section, add the full path to ./qulacs/include to “Include Directories”

  5. At “VC++ Directories” section, add the full path to ./qulacs/lib to “Library Directories”

  6. At “C/C++ -> Code Generation” section, change “Runtime library” to “Multi-threaded (/MT)”.

  7. At “Linker -> Input” section, add vqcsim_static.lib;cppsim_static.lib;csim_static.lib; to “Additional Dependencies”.