amazon-braket

Example notebooks that show how to apply quantum computing with Amazon Braket.

A Python SDK for interacting with quantum devices on Amazon Braket

Study resources for learning quantum computing

Experimental Julia implementation of the Amazon Braket SDK

Qiskit-Braket provider for running Qiskit programs Amazon Braket devices

Deploy a solution to research on drug discovery problems using quantum computing and classical computing resources.

Quantum program simulators that can run locally

Quantum Computing Guide

A plugin for running Xanadu PennyLane programs on Amazon Braket devices

MPQP is a python library to create quantum circuits and run them on a multitude of backends from various providers.

A type-safe, functional quantum programming language embedded in Python. Write a quantum program (qkernel), then estimate its qubit and gate requirements and run it across multiple quantum SDKs, all from a single source.

A Python plugin for using Ocean with Amazon Braket

Open-source Python library for quantum computing. Build quantum algorithms once, run them on simulators such as Qiskit Aer, PennyLane, CUDA-Q and Qulacs, and on IBM Quantum, IQM and Amazon Braket hardware.

Amazon Braket で量子コンピューティングを試すためのサンプルノートブック (日本語) です。

Solution for near real-time monitoring and control of costs incurred by Amazon Braket quantum tasks.

Quantum Computing Tests and Learning Journey

Interactive demonstration platform exploring post-quantum cryptography, blockchain security, and sustainable distributed trust through participatory user experience and real quantum hardware execution.

A progressive curriculum spanning circuit fundamentals through production hybrid workloads. Build real quantum algorithms with hands-on notebooks.

Exploratory project deploying small-scale optimization problems to Amazon Braket using quantum backends. Compares classical and quantum solutions to introduce hybrid modeling and infrastructure-as-code principles.

CDK app to create IAM User/Role for Amazon Braket Hands-on Workshop