"Orquestra Braket package"
Project description
orquestra-braket
What is it?
orquestra-braket
is a Zapata library holding modules for integrating Amazon Braket supported devices with Orquestra. This version supports Braket's LocalSimlator()
and on-demand simulators.
Installation
Even though it's intended to be used with Orquestra, orquestra-braket
can be also used as a Python module.
To install it, make to install orquestra-quantum
first. Then you just need to run pip install .
from the main directory.
Overview
orquestra-braket
is a Python module that exposes Braket's runner and simulators as an orquestra
CircuitRunner
and WavefunctionSimulator
. They can be imported with:
from orquestra.integrations.braket.runner import BraketRunner
from orquestra.integrations.braket.simulator import braket_local_simulator
In addition, it interfaces with the noise models and provides converters that allow switching between braket
circuits and those of orquestra
.
The module can be used directly in Python or in an Orquestra workflow. For more details, see the Orquestra Core docs.
For more information regarding Orquestra and resources, please refer to the Orquestra documentation.
On Demand Simulator
In order to use Braket's on-demand simulator
, a boto.Session
must be created using AWS credentials. See Boto Session for information on creating creating a session. It highly recommended that credentials are configured in the local AWS CLI profile. Following is an example of working with BraketOnDemandSimulator
using credentials stored in AWS CLI profile:
from orquestra.integrations.braket.runner import aws_runner
from boto3 import Session
# Insert CLI profile name here
boto_session = Session(profile_name=`profile`, region_name='us-east-1')
simulator_name = "SV1"
noise_model = None
simulator = aws_runner(name = simulator_name, noise_model = noise_model, boto_session=boto_session)
Below is an example of finding the names of on-demand simulators:
from boto3 import Session
from braket.aws import AwsSession, AwsDevice
boto_session = Session(profile_name=`profile`, region_name='us-east-1')
aws_session = AwsSession(boto_session)
Simulators = AwsDevice.get_devices(types=['SIMULATOR'], aws_session)
Braket QPUs
This library will allow you to access the QPUs provided by AWS Braket. The process is very similar to the BraketOnDemandSimulator
. Here is how we can get started:
from orquestra.integrations.braket.runner import aws_runner
QPU_name = "IonQ Device"
s3 = "https://my-bucket.s3-us-west-2.amazonaws.com"
backend = aws_runner(name = QPU_name, s3_destination_folder = s3, boto_session = boto_session )
If you want to find the list of QPU names provided by Braket, use the following method:
from orquestra.integrations.braket.runner import get_QPU_names
QPU_names = get_QPU_names(boto_session)
After setting up the QPU, you can use the following approach to send a task to a QPU.
QPU_task = backend.run_and_measure(circ, n_samples)
Since the quantum devices are not readily accessible, the results are not returned immediately. We can monitor the status of our task by QPU_task.state()
. You can cancel the task by QPU.cancel()
.
The outcome of the task will be stored in a S3 Bucket. You are required to have access to the bucket to retrive the results. You can find out more accessing S3 bucket here
Development and contribution
You can find the development guidelines in the orquestra-core
repository.
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