This repository contains the full source code for tket, a quantum SDK.

If you just want to use tket via Python, the easiest way is to install it with pip:

pip install pytket

For full API documentation, as well as a comprehensive user manual and a selection of example notebooks, please follow the links from the pytket main page.

In addition to the core pytket package there are pytket extension modules which allow pytket to interface with quantum devices and simulators. Some extensions also provide interoperability with other software libraries such as qiskit, cirq and pennylane.

For a list of available pytket extensions see the extensions index page.

These extensions are installed as separate python packages and the source code for each extension lives in its own github repository.

If you would like to build tket yourself and help to improve it, read on!

The codebase is split into two main projects:

• tket: the core functionality of tket, optimised for execution speed and implemented in C++.
• pytket: the Python interface of tket. This consists of binder modules to tket (written in C++ and making use of pybind11 to link to the tket shared library) and pure Python code that defines abstract interfaces used by the extension modules such as the Backend and BackendResult classes, as well as various other utilities.

The following compiler toolchains are used to build tket on the CI and are therefore known to work:

• Linux: gcc-11
• MacOS: apple-clang 14
• Windows: MSVC 19

It is recommended that you use these versions to build locally, as code may depend on the features they support. The compiler version can be controlled by setting CC and CXX in your environment (e.g. CC=gcc-11 and CXX=g++-11), or on Debian-based Linux systems using update-alternatives.

You should also have Python (3.9, 3.10 or 3.11) and pip installed. We use cmake and the package manager conan to build tket and pytket. The latter can be installed with pip:

pip install conan

You will need at least cmake version 3.26, and conan version 2.

Generate a profile that matches your current machine, and add the required remote where some dependencies are stored:

conan profile detect
conan remote add tket-libs https://quantinuumsw.jfrog.io/artifactory/api/conan/tket1-libs --index 0

It is recommended that you also install ninja and ccache to speed up the build process. For example with apt on Debian/Ubuntu:

apt install ninja-build ccache

Homebrew on MacOS/Linux:

brew install ninja ccache

Chocolatey on Windows:

choco install ninja ccache

On MacOS/Linux:

• If installed, ccache is used automatically
• ninja must either be set as the default Cmake generator using the following command:

  echo "tools.cmake.cmaketoolchain:generator = Ninja" >> $(conan config home)/global.conf

  or be specified on a command-by-command basis by providing the argument -c tools.cmake.cmaketoolchain:generator=Ninja to conan

On Windows:

• Set ninja as generator as described above (less reliable than the default Visual Studio generator)
• ccache will be used automatically only when using Ninja or Makefile as the Cmake generator. It can also be used with Visual Studio generators by setting the environment variable TKET_VSGEN_CCACHE_EXE to the path of the ccache executable. Note: this must be the path to the actual binary, not a symlink or shim (as used by Chocolatey). If using Chocolatey to install ccache, you can find the path to the binary using ccache --shimgen-help

See the README in the libs directory for instructions on building and testing the utility libraries used by tket (for logging, random-number generation and so on). This is not necessary if you just want to build tket or pytket since the recipes or binaries will be automatically downloaded from the above conan remote.

See the README in the tket directory for instructions on building and testing tket as a standalone C++ library.

See the README in the pytket directory for instructions on building and testing pytket.

Tket and pytket are available as a Nix flake, with support for Linux and Apple Silicon systems. See the README in the nix-support directory for instructions on building and testing tket and pytket through Nix, and on how to use it within a Nix project.

The tket (C++) API documentation (generated with doxygen, and still rather patchy) is available here.

The pytket (Python) API documentation is available here.