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Azure Quantum

OpenQAOA supports all gate-based QPU present on Azure Quantum. For the freshest list, please check the Azure Quantum documentation

Currently, the available devices are

Item Device Name Paradigm Type Target # Qubits
IonQ Quantum simulator gate-based SIM ionq.simulator 29
IonQ IonQ Harmony gate-based QPU ionq.qpu 11
IonQ IonQ Aria gate-based QPU ionq.qpu.aria-1 23
Rigetti QVM gate-based SIM rigetti.sim.qvm -
Rigetti Aspen-M-2 gate-based QPU rigetti.qpu.aspen-m-2 80
Rigetti Aspen-M-3 gate-based QPU rigetti.qpu.aspen-m-3 80
Quantinuum H1-1 gate-based QPU quantinuum.qpu.h1-1 20
Quantinuum H1-2 gate-based QPU quantinuum.qpu.h1-2 12
Quantinuum H1-1 Emulator gate-based QPU quantinuum.sim.h1-1e 20
Quantinuum H1-2 Emulator gate-based QPU quantinuum.sim.h1-2e 12


Most computations on Azure Quantum carry a financial cost. Please, make sure you are conformable with the latest Amazon Braket pricing model before continuing!

How to connect to Azure Quantum

There are two ways to access the devices on Azure Quantum, and both require you to create an Azure Quantum account. You can do so from the official Azure website

Access through your own laptop

In order to access Azure Quantum services from your own device you will need to authenticate yourself locally. The simplest way to authenticate is to use the Azure Command Line Interface

To install the Azure CLI, please refer to the official documentation

Access through Azure Quantum hosted notebooks

You can get started by following Azure Quantum official docs. This will allow you to create an Azure Quantum workspace where you can access Azure hosted notebooks.

Creating an Azure device

The procedure is simple:

from openqaoa import QAOA, create_device

q = QAOA()

device_azure = create_device(location='azure',

Please, note that you need to specify the correct path for your resource_id and select the correct az_location!

Find an Available Device

If you are unsure about what devices are available to you, you can do the following:

from openqaoa import QAOA, create_device

az_device = create_device(location='azure',


The attribute check_connection authenticates your Azure credentials while available_qpus returns a list of Azure devices available to your Azure account and specified Workspace.

Once you've selected the desired device, recreate the device object with the selected device's name as name in the create_device function.

Using Azure job submission or sessions

Now that the device has been created and passed to the QAOA object, optimize will perform the job submission to the Azure backend automatically (remember that you need to specify what problem you want to solve with QAOA). OpenQAOA is also compatible with Azure sessions which allows you to group submitted jobs such that they are prioritized in the queue of the target hardware. Instead of submitting jobs one at a time using the usual


, you may create an Azure session using the attributes of q.device as follows:

with q.device.backend_device.open_session(name="QAOA") as session: