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IBM's `Qiskit <https://qiskit.org>`_ is an open-source framework for quantum
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computation, ranging from high-level algorithms to low-level circuit
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representations, simulation and access to the `IBMQ <https://www.research.ibm.com/ibm-q/>`_ Experience devices.
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run on IBM backends and simulators, as well as conversion to and from Qiskit
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representations.
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``pytket-qiskit`` is available for Python 3.8, 3.9 and 3.10, on Linux, MacOS and
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``pytket-qiskit`` is available for Python 3.9, 3.10 and 3.11, on Linux, MacOS and
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Windows. To install, run:
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::
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- Unitary simulator
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* [1] ``AerBackend`` is noiseless by default and has no architecture. However it can accept a user defined ``NoiseModel`` and ``Architecture``.
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* In addition to the backends above the pytket-qiskit extension also has the ``TketBackend``. This allows a tket ``Backend``s and compilation passes to be used directly through qiskit. see the `Notebook example <https://github.com/CQCL/pytket/blob/main/examples/qiskit_integration.ipynb>`_ on qiskit integration.
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* In addition to the backends above the pytket-qiskit extension also has the ``TketBackend``. This allows a tket ``Backend``to be used directly through qiskit. see the `notebook example <https://github.com/CQCL/pytket/blob/main/examples/qiskit_integration.ipynb>`_ on qiskit integration.
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