Ion Trap ============ IonQ +++++++ .. _ionq-backend: Setting Credentials ````````````````````````` Programmers of CUDA-Q may access the `IonQ Quantum Cloud `__ from either C++ or Python. Generate an API key from your `IonQ account `__ and export it as an environment variable: .. code:: bash export IONQ_API_KEY="ionq_generated_api_key" Submitting ````````````````````````` .. tab:: Python First, set the :code:`ionq` backend. .. code:: python cudaq.set_target('ionq') By default, quantum kernel code will be submitted to the IonQ simulator. .. note:: A "target" in :code:`cudaq` refers to a quantum compute provider, such as :code:`ionq`. However, IonQ's documentation uses the term "target" to refer to specific QPU's themselves. To specify which IonQ QPU to use, set the :code:`qpu` parameter. .. code:: python cudaq.set_target("ionq", qpu="qpu.aria-1") where ``qpu.aria-1`` is an example of a physical QPU. A list of available QPUs can be found `in the API documentation `__. To see which backends are available with your subscription login to your `IonQ account `__. To emulate the IonQ machine locally, without submitting through the cloud, you can also set the ``emulate`` flag to ``True``. This will emit any target specific compiler diagnostics, before running a noise free emulation. .. code:: python cudaq.set_target('ionq', emulate=True) The number of shots for a kernel execution can be set through the ``shots_count`` argument to ``cudaq.sample`` or ``cudaq.observe``. By default, the ``shots_count`` is set to 1000. .. code:: python cudaq.sample(kernel, shots_count=10000) To see a complete example for using IonQ's backends, take a look at our :doc:`Python examples <../../examples/examples>`. .. tab:: C++ To target quantum kernel code for execution in the IonQ Cloud, pass the flag ``--target ionq`` to the ``nvq++`` compiler. .. code:: bash nvq++ --target ionq src.cpp This will take the API key and handle all authentication with, and submission to, the IonQ QPU(s). By default, quantum kernel code will be submitted to the IonQsimulator. .. note:: A "target" in :code:`cudaq` refers to a quantum compute provider, such as :code:`ionq`. However, IonQ's documentation uses the term "target" to refer to specific QPU's themselves. To execute your kernels on a QPU, pass the ``--ionq-machine`` flag to the ``nvq++`` compiler to specify which machine to submit quantum kernels to: .. code:: bash nvq++ --target ionq --ionq-machine qpu.aria-1 src.cpp ... where ``qpu.aria-1`` is an example of a physical QPU. A list of available QPUs can be found `in the API documentation `__. To see which backends are available with your subscription login to your `IonQ account `__. To emulate the IonQ machine locally, without submitting through the cloud, you can also pass the ``--emulate`` flag to ``nvq++``. This will emit any target specific compiler diagnostics, before running a noise free emulation. .. code:: bash nvq++ --emulate --target ionq src.cpp To see a complete example for using IonQ's backends, take a look at our :doc:`C++ examples <../../examples/examples>`. Quantinuum +++++++++++ .. _quantinuum-backend: Setting Credentials ``````````````````` Programmers of CUDA-Q may access the Quantinuum API from either C++ or Python. Quantinuum requires a credential configuration file. The configuration file can be generated as follows, replacing the ``email`` and ``credentials`` in the first line with your Quantinuum account details. .. code:: bash # You may need to run: `apt-get update && apt-get install curl jq` curl -X POST -H "Content Type: application/json" \ -d '{ "email":"@email.com","password":"" }' \ https://qapi.quantinuum.com/v1/login > $HOME/credentials.json id_token=`cat $HOME/credentials.json | jq -r '."id-token"'` refresh_token=`cat $HOME/credentials.json | jq -r '."refresh-token"'` echo "key: $id_token" >> $HOME/.quantinuum_config echo "refresh: $refresh_token" >> $HOME/.quantinuum_config The path to the configuration can be specified as an environment variable: .. code:: bash export CUDAQ_QUANTINUUM_CREDENTIALS=$HOME/.quantinuum_config Submitting ````````````````````````` .. tab:: Python The backend to which quantum kernels are submitted can be controlled with the ``cudaq::set_target()`` function. .. code:: python cudaq.set_target('quantinuum') By default, quantum kernel code will be submitted to the Quantinuum syntax checker. Submission to the syntax checker merely validates the program; the kernels are not executed. To execute your kernels, specify which machine to submit quantum kernels to by setting the :code:`machine` parameter of the target. .. code:: python cudaq.set_target('quantinuum', machine='H1-2') where ``H1-2`` is an example of a physical QPU. Hardware specific emulators may be accessed by appending an ``E`` to the end (e.g, ``H1-2E``). For access to the syntax checker for the provided machine, you may append an ``SC`` to the end (e.g, ``H1-1SC``). For a comprehensive list of available machines, login to your `Quantinuum user account `__ and navigate to the "Account" tab, where you should find a table titled "Machines". To emulate the Quantinuum machine locally, without submitting through the cloud, you can also set the ``emulate`` flag to ``True``. This will emit any target specific compiler warnings and diagnostics, before running a noise free emulation. .. code:: python cudaq.set_target('quantinuum', emulate=True) The number of shots for a kernel execution can be set through the ``shots_count`` argument to ``cudaq.sample`` or ``cudaq.observe``. By default, the ``shots_count`` is set to 1000. .. code:: python cudaq.sample(kernel, shots_count=10000) To see a complete example for using Quantinuum's backends, take a look at our :doc:`Python examples <../../examples/examples>`. .. tab:: C++ To target quantum kernel code for execution in the Quantinuum backends, pass the flag ``--target quantinuum`` to the ``nvq++`` compiler. CUDA-Q will authenticate via the Quantinuum REST API using the credential in your configuration file. By default, quantum kernel code will be submitted to the Quantinuum syntax checker. Submission to the syntax checker merely validates the program; the kernels are not executed. .. code:: bash nvq++ --target quantinuum src.cpp ... To execute your kernels, pass the ``--quantinuum-machine`` flag to the ``nvq++`` compiler to specify which machine to submit quantum kernels to: .. code:: bash nvq++ --target quantinuum --quantinuum-machine H1-2 src.cpp ... where ``H1-2`` is an example of a physical QPU. Hardware specific emulators may be accessed by appending an ``E`` to the end (e.g, ``H1-2E``). For access to the syntax checker for the provided machine, you may append an ``SC`` to the end (e.g, ``H1-1SC``). For a comprehensive list of available machines, login to your `Quantinuum user account `__ and navigate to the "Account" tab, where you should find a table titled "Machines". To emulate the Quantinuum machine locally, without submitting through the cloud, you can also pass the ``--emulate`` flag to ``nvq++``. This will emit any target specific compiler warnings and diagnostics, before running a noise free emulation. .. code:: bash nvq++ --emulate --target quantinuum src.cpp To see a complete example for using Quantinuum's backends, take a look at our :doc:`C++ examples <../../examples/examples>`.