| Name | pytket-iqm JSON |
| Version |
0.17.0
JSON |
| download |
| home_page | None |
| Summary | Extension for pytket, providing access to IQM backends |
| upload_time | 2025-10-27 16:34:05 |
| maintainer | None |
| docs_url | None |
| author | TKET development team |
| requires_python | >=3.10 |
| license | Apache 2 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
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| requirements |
No requirements were recorded.
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# pytket-iqm
[](https://tketusers.slack.com/join/shared_invite/zt-18qmsamj9-UqQFVdkRzxnXCcKtcarLRA#)
[](https://quantumcomputing.stackexchange.com/tags/pytket)
[Pytket](https://tket.quantinuum.com/api-docs/index.html) 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](https://meetiqm.com/)'s quantum devices and simulators.
Some useful links:
- [API Documentation](https://tket.quantinuum.com/extensions/pytket-iqm/)
## Getting started
`pytket-iqm` is available for Python 3.10, 3.11 and 3.12, on Linux, macOS
and Windows. To install, run:
```shell
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](https://tket.quantinuum.com/extensions/pytket-iqm/).
Under the hood, `pytket-iqm` uses `iqm-client` to interact with the devices. See
the IQM Client [documentation](https://iqm-finland.github.io/iqm-client/) and
Pytket [documentation](https://tket.quantinuum.com/api-docs/) 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:
```python
from pytket.extensions.iqm import IQMBackend
from pytket.circuit import Circuit
backend = IQMBackend(device="garnet", api_token="API_TOKEN")
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())
```
Note that the API token can be provided explicitly as an argument when
constructing the backend; alternatively it can be stored in pytket config (see
`IQMConfig.set_iqm_config()`); or it can be stored in a file whose location is
given by the environment variable `IQM_TOKENS_FILE`.
The IQM Client documentation includes the [set of currently supported
instructions]
(https://iqm-finland.github.io/iqm-client/api/iqm.iqm_client.models.Instruction.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.
(Note: At the moment IQM does not provide a quantum computing service open to the
general public. Please contact their [sales team](https://www.meetiqm.com/contact/)
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](https://github.com/CQCL/pytket-iqm/issues).
## Development
To install an extension in editable mode, simply change to its subdirectory
within the `modules` directory, and run:
```shell
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](https://black.readthedocs.io/en/stable/), with default options. This is
checked on the CI.
#### Type annotation
On the CI, [mypy](https://mypy.readthedocs.io/en/stable/) 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](https://pypi.org/project/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:
```shell
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 environment variable
`PYTKET_RUN_REMOTE_TESTS=1` and make sure you have your API token stored either
in pytket config or in a file whose location is given by the environment
variable `IQM_TOKENS_FILE`.
When adding a new feature, please add a test for it. When fixing a bug, please
add a test that demonstrates the fix.
Raw data
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"description": "# pytket-iqm\n\n[](https://tketusers.slack.com/join/shared_invite/zt-18qmsamj9-UqQFVdkRzxnXCcKtcarLRA#)\n[](https://quantumcomputing.stackexchange.com/tags/pytket)\n\n[Pytket](https://tket.quantinuum.com/api-docs/index.html) is a python module\nproviding an extensive set of tools for compiling and executing quantum circuits.\n\n`pytket-iqm` is an extension to `pytket` that allows `pytket` circuits to be\nexecuted on [IQM](https://meetiqm.com/)'s quantum devices and simulators.\n\nSome useful links:\n- [API Documentation](https://tket.quantinuum.com/extensions/pytket-iqm/)\n\n## Getting started\n\n`pytket-iqm` is available for Python 3.10, 3.11 and 3.12, on Linux, macOS\nand Windows. To install, run:\n\n```shell\npip install pytket-iqm\n```\n\nThis will install `pytket` if it isn't already installed, and add new classes\nand methods into the `pytket.extensions` namespace.\n\nAPI documentation is available\n[here](https://tket.quantinuum.com/extensions/pytket-iqm/).\n\nUnder the hood, `pytket-iqm` uses `iqm-client` to interact with the devices. See\nthe IQM Client [documentation](https://iqm-finland.github.io/iqm-client/) and\nPytket [documentation](https://tket.quantinuum.com/api-docs/) for more info.\n\nTo use the integration, initialise an `IQMBackend`, construct a Pytket circuit,\ncompile it and run. Here is a small example of running a GHZ state circuit:\n\n```python\nfrom pytket.extensions.iqm import IQMBackend\nfrom pytket.circuit import Circuit\n\nbackend = IQMBackend(device=\"garnet\", api_token=\"API_TOKEN\")\n\ncircuit = Circuit(3, 3)\ncircuit.H(0)\ncircuit.CX(0, 1)\ncircuit.CX(0, 2)\ncircuit.measure_all()\ncompiled_circuit = backend.get_compiled_circuit(circuit)\n\nresult = backend.run_circuit(compiled_circuit, n_shots=100)\nprint(result.get_shots())\n```\n\nNote that the API token can be provided explicitly as an argument when\nconstructing the backend; alternatively it can be stored in pytket config (see\n`IQMConfig.set_iqm_config()`); or it can be stored in a file whose location is\ngiven by the environment variable `IQM_TOKENS_FILE`.\n\nThe IQM Client documentation includes the [set of currently supported\ninstructions]\n(https://iqm-finland.github.io/iqm-client/api/iqm.iqm_client.models.Instruction.html).\n`pytket-iqm` retrieves the set from the IQM backend during the initialisation;\nthen `get_compiled_circuit()` takes care of compiling the circuit into the\nform suitable to run on the backend.\n\nDuring the backend initialisation, `pytket-iqm` also retrieves the names of\nphysical qubits and qubit connectivity.\n\n(Note: At the moment IQM does not provide a quantum computing service open to the \ngeneral public. Please contact their [sales team](https://www.meetiqm.com/contact/)\nto set up your access to an IQM quantum computer.)\n\n## Bugs and feature requests\n\nPlease file bugs and feature requests on the GitHub\n[issue tracker](https://github.com/CQCL/pytket-iqm/issues).\n\n## Development\n\nTo install an extension in editable mode, simply change to its subdirectory\nwithin the `modules` directory, and run:\n\n```shell\npip install -e .\n```\n\n## Contributing\n\nPull requests are welcome. To make a PR, first fork the repo, make your proposed\nchanges on the `main` branch, and open a PR from your fork. If it passes\ntests and is accepted after review, it will be merged in.\n\n### Code style\n\n#### Formatting\n\nAll code should be formatted using\n[black](https://black.readthedocs.io/en/stable/), with default options. This is\nchecked on the CI.\n\n#### Type annotation\n\nOn the CI, [mypy](https://mypy.readthedocs.io/en/stable/) is used as a static\ntype checker and all submissions must pass its checks. You should therefore run\n`mypy` locally on any changed files before submitting a PR. Because of the way\nextension modules embed themselves into the `pytket` namespace this is a little\ncomplicated, but it should be sufficient to run the script `modules/mypy-check`\n(passing as a single argument the root directory of the module to test). The\nscript requires `mypy` 0.800 or above.\n\n#### Linting\n\nWe use [pylint](https://pypi.org/project/pylint/) on the CI to check compliance\nwith a set of style requirements (listed in `.pylintrc`). You should run\n`pylint` over any changed files before submitting a PR, to catch any issues.\n\n### Tests\n\nTo run the tests:\n\n```shell\ncd tests\npip install -r test-requirements.txt\npytest\n```\n\nBy default, the remote tests, which run against the real backend server, are \nskipped. To enable them, set the environment variable\n`PYTKET_RUN_REMOTE_TESTS=1` and make sure you have your API token stored either\nin pytket config or in a file whose location is given by the environment\nvariable `IQM_TOKENS_FILE`.\n\nWhen adding a new feature, please add a test for it. When fixing a bug, please\nadd a test that demonstrates the fix.\n",
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