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 to execute Qiskit programs on devices via Amazon Braket.

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 allowing Xanadu PennyLane to use Amazon Braket devices

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

A Python plugin for using Ocean with Amazon Braket

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

This workshop explains how to use Amazon Braket service. You can run quantum algorithm codes with various QPU devices including quantum annealers from D-Wave, and gate-based computers from Rigetti and IonQ.

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

Quantum circuit experiment desk with local sim, IBM Quantum, and Amazon Braket backends

RQM native circuit language that provides quaternion-native circuit models, gate compositions, state preparation templates, and canonicalization

In this hello-world tutorial we prepare a maximally entangled Bell state between two qubits. We then run our circuit on a local simulator and obtain the results.