Extension for pytket, providing access to IQM backends
Project description
pytket-iqm
Pytket is a python module providing an extensive set of tools for compiling and executing quantum circuits.
pytket-iqm
is an extension to pytket
that allows pytket
circuits to be
executed on IQM's quantum devices and simulators.
Some useful links:
Getting started
pytket-iqm
is available for Python 3.10, 3.11 and 3.12, on Linux, macOS
and Windows. To install, run:
pip install pytket-iqm
This will install pytket
if it isn't already installed, and add new classes
and methods into the pytket.extensions
namespace.
API documentation is available here.
Under the hood, pytket-iqm
uses iqm-client
to interact with the devices. See
the IQM Client documentation and
Pytket documentation for more info.
To use the integration, initialise an IQMBackend
, construct a Pytket circuit,
compile it and run. Here is a small example of running a GHZ state circuit:
from pytket.extensions.iqm import IQMBackend
from pytket.circuit import Circuit
backend = IQMBackend(
url="https://demo.qc.iqm.fi/cocos",
auth_server_url="https://demo.qc.iqm.fi/auth",
username="USERNAME",
password="PASSWORD",
)
circuit = Circuit(3, 3)
circuit.H(0)
circuit.CX(0, 1)
circuit.CX(0, 2)
circuit.measure_all()
compiled_circuit = backend.get_compiled_circuit(circuit)
result = backend.run_circuit(compiled_circuit, n_shots=100)
print(result.get_shots())
The IQM Client documentation includes the [set of currently supported
instructions]
(https://iqm-finland.github.io/iqm-client/api/iqm_client.iqm_client.html).
pytket-iqm
retrieves the set from the IQM backend during the initialisation;
then get_compiled_circuit()
takes care of compiling the circuit into the
form suitable to run on the backend.
During the backend initialisation, pytket-iqm
also retrieves the names of
physical qubits and qubit connectivity. You can override the qubit connectivity
by providing the arch
parameter to the IQMBackend
constructor, but it generally
does not make sense, since the IQM server reports the valid quantum architecture
relevant to the given backend URL.
(Note: At the moment IQM does not provide a quantum computing service open to the general public. Please contact our sales team to set up your access to an IQM quantum computer.)
Bugs and feature requests
Please file bugs and feature requests on the GitHub issue tracker.
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 main
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.
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:
cd tests
pip install -r test-requirements.txt
pytest
By default, the remote tests, which run against the real backend server, are skipped. To enable them, set the following environment variables:
export PYTKET_RUN_REMOTE_TESTS=1
export PYTKET_REMOTE_IQM_AUTH_SERVER_URL=https://demo.qc.iqm.fi/auth
export PYTKET_REMOTE_IQM_USERNAME=YOUR_USERNAME
export PYTKET_REMOTE_IQM_PASSWORD=YOUR_PASSWORD
When adding a new feature, please add a test for it. When fixing a bug, please add a test that demonstrates the fix.
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