API Reference: qbraid.runtime.ionq

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Installation & Setup

Using IonQ provider is straightforward and requires no additional extras. Simply install the basic qbraid package, which already includes all necessary requirements:

pip install qbraid

However, to gain access to the IonQ devices, you must obtain an IonQ API token.

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Basic Usage

Now we can go through an example of using the IonQProvider to submit a job to an IonQ device.

>>> from qbraid.runtime import IonQProvider
>>> provider = IonQProvider(<YOUR_API_TOKEN>)
>>> provider.get_devices()
[<qbraid.runtime.ionq.device.IonQDevice('qpu.harmony')>,
 <qbraid.runtime.ionq.device.IonQDevice('qpu.aria-1')>,
 <qbraid.runtime.ionq.device.IonQDevice('qpu.aria-2')>,
 <qbraid.runtime.ionq.device.IonQDevice('qpu.forte-1')>,
 <qbraid.runtime.ionq.device.IonQDevice('simulator')>]
>>> device = provider.get_device("simulator")
>>> type(device)
qbraid.runtime.ionq.device.IonQDevice
>>> device.metadata()
{'device_id': 'simulator',
 'device_type': 'QPU',
 'num_qubits': 29,
 'status': 'ONLINE',
 'queue_depth': None}

We choose to submit to the IonQ Simulator:

program = """
OPENQASM 3;
include "stdgates.inc";
qubit[2] q;
h q[0];
cx q[0], q[1];
"""
job = device.run(program, shots=10)

So now we have job which is of type IonQJob, which inherits from QuantumJob. To see the results, we can do the following:

>>> res = job.result()
>>> res.data.get_counts()
{'00': 4, '11': 6}

See how to visualize these results in the Visualization section.

QiskitRuntimeProviderOQCProvider