TKET (pronounced "ticket" ) is a high-performance quantum compiler that can optimise circuits for a wide range of quantum computing architectures.
This repository contains the full source code for TKET and its python bindings.
The standard way of using TKET is via its pytket python API.
If you just want to use TKET via Python, the easiest way is to install pytket with
pip
:
pip install pytket
As well as being an interface to the TKET compiler, pytket also provides an extensive API for other quantum computing tasks. These include constructing quantum circuits and handling the execution of experiments on devices and simulators.
Thetket
(C++) API documentation (generated withdoxygen
,and still rather
patchy) is available
here.
Thepytket
(Python) API documentation is available
here.
For getting started using pytket, check out theuser manual and notebook examples.
The source content for the manual and notebook examples can be found in thepytket-docs repository.
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 theextensions 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 theBackend
andBackendResult
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-13
- MacOS: apple-clang 15
- 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
settingCC
andCXX
in your environment (e.g.CC=gcc-11
andCXX=g++-11
),
or on Debian-based Linux systems usingupdate-alternatives
.
You should also have Python (3.10, 3.11, 3.12 or 3.13) andpip
installed. We
usecmake
and the package managerconan
to build tket and pytket. The latter
can be installed withpip
:
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 installninja
andccache
to speed up the
build process. For example withapt
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:or be specified on a command-by-command basis by providing the argumentecho"tools.cmake.cmaketoolchain:generator = Ninja">>$(conan config home)/global.conf
-c tools.cmake.cmaketoolchain:generator=Ninja
to conan
On Windows:
- Set
ninja
as generator as described above (less reliable than the defaultVisual Studio
generator) ccache
will be used automaticallyonlywhen usingNinja
orMakefile
as the Cmake generator. It can also be used withVisual Studio
generators by setting the environment variableTKET_VSGEN_CCACHE_EXE
to the path of theccache
executable.Note: this must be the path to the actual binary, not a symlink or shim (as used by Chocolatey).If using Chocolatey to installccache
,you can find the path to the binary usingccache --shimgen-help
See theREADMEin thelibs
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 theREADMEin thetket
directory for instructions on
building and testing tket as a standalone C++ library.
See theREADMEin thepytket
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 theREADMEin thenix-support
directory for instructions
on building and testing tket and pytket through Nix, and on how to use it within a Nix project.
To launch into a tket environment, you can use
nix develop github:CQCL/tket
We use Cachix to cache pre-built artifacts, which provides a faster install time for nix users.
To make use of this cache, enable our cachix substituter withcachix use tket
,or enter a
tket nix environment from a trusted user and confirm the use of the tket.cachix.org substituter.