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Description:
pytketqsharp 0.40.0
pytket-qsharp
Pytket is a python module for interfacing
with tket, a quantum computing toolkit and optimising compiler developed by Quantinuum.
Azure Quantum is a portal for accessing
quantum computers via Microsoft Azure.
Microsoft's QDK is a
language and associated toolkit for quantum programming.
pytket-qsharp is an extension to pytket that allows pytket circuits to be
executed on remote devices and simulators via Azure Quantum,
as well as local simulators and resource estimators from the Microsoft QDK.
Backends provided in this module
This module provides four
backends, all deriving
from the pytket Backend class:
AzureBackend, for executing pytket circuits on targets the user has access to on Azure Quantum;
QsharpSimulatorBackend, for simulating a general pure-quantum circuit using
the QDK;
QsharpToffoliSimulatorBackend, for simulating a Toffoli circuit using the
QDK;
[disabled] QsharpEstimatorBackend, for estimating various quantum resources of a
circuit using the QDK. This provides a get_resources method, which returns a
dictionary.
Getting started
pytket-qsharp is available for Python 3.10, 3.11 and 3.12, on Linux, MacOS
and Windows. To install, run:
pip install pytket-qsharp
This will install pytket if it isn't already installed, and add new classes
and methods into the pytket.extensions namespace.
In order to use pytket-qsharp you will first need to install the dotnet SDK
(6.0) and the iqsharp tool. On some Linux systems it is also necessary to
modify your PATH:
See this page for
instructions on installing the SDK on your operating system.
On Linux, ensure that the dotnet tools directory is on your path. Typically
this will be ~/.dotnet/tools.
Run dotnet tool install -g Microsoft.Quantum.IQSharp.
Run dotnet iqsharp install --user.
Alternatively, you can set up an environment with all the required packages using conda:
conda create -n qsharp-env -c quantum-engineering qsharp notebook
conda activate qsharp-env
Bugs, support and feature requests
Please file bugs and feature requests on the Github
issue tracker.
There is also a Slack channel for discussion and support. Click here to join.
Development
To install an extension in editable mode, simply change to its subdirectory
within the modules directory, and run:
pip install -e .
Contributing
Pull requests are welcome. To make a PR, first fork the repo, make your proposed
changes on the develop branch, and open a PR from your fork. If it passes
tests and is accepted after review, it will be merged in.
Code style
Formatting
All code should be formatted using
black, with default options. This is
checked on the CI. The CI is currently using version 20.8b1.
Type annotation
On the CI, mypy is used as a static
type checker and all submissions must pass its checks. You should therefore run
mypy locally on any changed files before submitting a PR. Because of the way
extension modules embed themselves into the pytket namespace this is a little
complicated, but it should be sufficient to run the script modules/mypy-check
(passing as a single argument the root directory of the module to test). The
script requires mypy 0.800 or above.
Linting
We use pylint on the CI to check compliance
with a set of style requirements (listed in .pylintrc). You should run
pylint over any changed files before submitting a PR, to catch any issues.
Tests
To run the tests for a module:
cd into that module's tests directory;
ensure you have installed pytest, hypothesis, and any modules listed in
the test-requirements.txt file (all via pip);
run pytest.
When adding a new feature, please add a test for it. When fixing a bug, please
add a test that demonstrates the fix.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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