amazon-braket-sdk
An open source library for interacting with quantum computing devices on Amazon Braket
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or greater; AWS credentials configured via boto3; IAM permissions for Amazon Braket service access.
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with recent releases; last commit 2026-08-13.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most commercial and open-source projects with minimal restrictions; requires license attribution.
last release 2026-08-03 (11 days) · last repo commit 2026-08-13 · 373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 141,147 downloads/mo, #11,249 on PyPI
Alternatives
Verify before relying
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)- 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.
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 on this page. Verify before relying on it.
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
amazon-braket-sdk on PyPI
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.
Requires Python 3.11 or greater; AWS credentials configured via boto3; IAM permissions for Amazon Braket service access.
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)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 the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 13 packagesamazon-braket-schemasamazon-braket-default-simulatoroqpybackoffboltonsboto3cloudpicklenest-asyncionetworkxnumpyopenpulseopenqasm3sympy |
| Maintenance | Actively maintained 11 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 141,147 / month, #11,249 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchNatural Language :: EnglishProgramming Language :: PythonProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: amazon_braket_sdk-1.125.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “quantum circuit execution AWS”
- amazon-braket-sdkProvides a Python framework to design, simulate, and execute quantum…
- amazon-braket-default-simulatorProvides a local quantum circuit simulator for testing quantum…
- pytketPytket is a Python interface to TKET, a quantum computing toolkit and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Scientific/Engineering packages
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.
scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.
scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.
Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.
dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.
Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.
Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.
See also amazon-braket-default-simulator · amazon-braket-schemas · cirq-aqt · cirq-core · qiskit-terra · qiskit · qiskit-ionq · cirq · qiskit-aer · pytket