---
id: amazon-braket-sdk
version: "1.125.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# amazon-braket-sdk — An open source library for interacting with quantum computing devices on Amazon Braket

License: permissive · Maintenance: active · Downloads: 141.1K/mo

## What it is and what it does

Amazon Braket SDK is an open-source Python library that lets you build and run quantum circuits on AWS quantum hardware and simulators. It abstracts the complexity of interacting with quantum devices by providing a high-level API for circuit construction, task submission, and result retrieval. The SDK includes both local simulators for rapid prototyping and access to fully managed AWS simulators and physical quantum processors from providers like Rigetti.

The library depends on boto3 for AWS integration, numpy and sympy for numerical computation, networkx for circuit analysis, and several Amazon-specific packages (amazon-braket-schemas, amazon-braket-default-simulator, oqpy, openqasm3, openpulse) that handle quantum circuit representation and execution. It supports batch execution of multiple circuits in parallel and hybrid jobs that combine classical and quantum computation, with configurable polling timeouts for result retrieval.

Use it for:

- Prototype quantum algorithms locally using the braket_sv simulator before submitting to AWS hardware or managed simulators.
- Run Bell pair and other fundamental quantum circuits on physical quantum computers like Rigetti Cepheus to validate quantum computing concepts.
- Execute batches of independent quantum circuits in parallel on SV1 simulator for faster throughput than sequential submission.
- Build and deploy hybrid quantum-classical jobs that combine quantum circuit execution with classical post-processing via AwsQuantumJob.
- Debug quantum task status and monitor execution on QPUs using built-in logging and polling mechanisms.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides a Python framework to design, simulate, and execute quantum circuits on AWS quantum hardware and simulators through Amazon Braket.

Yes. The package is actively maintained, has no known vulnerabilities, supports current Python versions, and provides the primary interface for accessing Amazon Braket's quantum computing services. Install friction is low and the Apache-2.0 license is permissive. Recommended for anyone working with AWS quantum hardware or needing a quantum circuit framework integrated with AWS infrastructure.

## Install

pip install amazon-braket-sdk
uv add amazon-braket-sdk
poetry add amazon-braket-sdk

## Installing amazon-braket-sdk

Before you install: Low install friction with a pure-Python wheel distribution. Active maintenance with recent releases; last commit 2026-08-13. Supports current Python versions (3.11, 3.12, 3.13) and has been in production since 2020-08-13.

License in practice: Apache-2.0 permissive license allows use in most commercial and open-source projects with minimal restrictions; requires license attribution.

Quickstart:

pip install amazon-braket-sdk

from braket.aws import AwsDevice
from braket.circuits import Circuit
from braket.devices import Devices

device = AwsDevice(Devices.Amazon.SV1)
bell = Circuit().h(0).cnot(0, 1)
task = device.run(bell, shots=100)
print(task.result().measurement_counts)

Requires Python 3.11 or greater; AWS credentials configured via boto3; IAM permissions for Amazon Braket service access.

Verify before relying:

- Whether the local simulator (braket_sv) truly handles circuits up to 25 qubits as stated, or if this depends on specific hardware.
- Performance characteristics and cost implications of running circuits on fully managed simulators versus local execution.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 141.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

quantum circuit execution AWS, quantum computing SDK, braket quantum simulator, quantum algorithm framework, AWS quantum hardware interface, quantum circuit builder, quantum task submission, quantum-computing, aws-integration, circuit-simulation

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