covalent-braket-plugin 0.13.0.post1

Creator: codyrutscher

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Description:

covalentbraketplugin 0.13.0.post1

Covalent Braket Hybrid Jobs Plugin
Covalent is a Pythonic workflow tool used to execute tasks on advanced computing hardware. This executor plugin interfaces Covalent with AWS Braket Hybrid Jobs
Installing
To use this plugin with Covalent, install it with pip:
pip install covalent-braket-plugin

Usage Example
The following workflow prepares a uniform superposition of the single-qubit standard basis states and measures it.
import covalent as ct
from covalent_braket_plugin.braket import BraketExecutor
import os

# AWS resources to pass to the executor
credentials_file = "~/.aws/credentials"
profile = "default"
s3_bucket_name = "braket_s3_bucket"
ecr_image_uri = "111223344.dkr.ecr.us-east-1.amazonaws.com/amazon-braket-ecr-repo:latest"
iam_role_name = "covalent-braket-iam-role"

ex = BraketExecutor(
profile=profile,
credentials=credentials_file,
s3_bucket_name=s3_bucket_name,
ecr_image_uri=ecr_image_uri,
braket_job_execution_role_name=iam_role_name,
quantum_device="arn:aws:braket:::device/quantum-simulator/amazon/sv1",
classical_device="ml.m5.large",
storage=30,
time_limit=300,
)


@ct.electron(executor=ex)
def simple_quantum_task(num_qubits: int):
import pennylane as qml

# These are passed to the Hybrid Jobs container at runtime
device_arn = os.environ["AMZN_BRAKET_DEVICE_ARN"]
s3_bucket = os.environ["AMZN_BRAKET_OUT_S3_BUCKET"]
s3_task_dir = os.environ["AMZN_BRAKET_TASK_RESULTS_S3_URI"].split(s3_bucket)[1]

device = qml.device(
"braket.aws.qubit",
device_arn=device_arn,
s3_destination_folder=(s3_bucket, s3_task_dir),
wires=num_qubits,
)

@qml.qnode(device=device)
def simple_circuit():
qml.Hadamard(wires=[0])
return qml.expval(qml.PauliZ(wires=[0]))

res = simple_circuit().numpy()
return res


@ct.lattice
def simple_quantum_workflow(num_qubits: int):
return simple_quantum_task(num_qubits=num_qubits)


dispatch_id = ct.dispatch(simple_quantum_workflow)(1)
result_object = ct.get_result(dispatch_id, wait=True)

# We expect 0 as the result
print("Result:", result_object.result)

To run such workflows, users must have AWS credentials allowing access
to Braket, ECR, S3, and some other services. These permissions must be
defined in an IAM Role (called "covalent-braket-iam-role" in this
example). The AWS
documentation has more information about managing Braket
access.
Overview of Configuration
See the
RTD
for how to configure this executor.
Required Cloud Resources
In order to run your workflows with covalent there are a few notable resources that need to be provisioned first. Particularly an S3 bucket must be created, an IAM role with the AmazonBraketFullAccess policy, and a private ECR repo with an uploaded image for the tasks to use.
For more information regarding which cloud resources need to be provisioned visit our read the docs RTD guide for this plugin.
Release Notes
Release notes are available in the Changelog.
Citation
Please use the following citation in any publications:

W. J. Cunningham, S. K. Radha, F. Hasan, J. Kanem, S. W. Neagle, and S. Sanand.
Covalent. Zenodo, 2022. https://doi.org/10.5281/zenodo.5903364

License
Covalent is licensed under the Apache 2.0 License. See the
LICENSE
file or contact the support team for
more details.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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