Example notebooks that show how to apply quantum computing with Amazon Braket.
-
Updated
Aug 22, 2024 - Python
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 quantum computing hardware devices through Amazon Braket.
Deploy a solution to research on drug discovery problems using quantum computing and classical computing resources.
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.
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
CDK app to create IAM User/Role for Amazon Braket Hands-on Workshop
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.
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.
Advanced circuits and quantum algorithms
Add a description, image, and links to the amazon-braket topic page so that developers can more easily learn about it.
To associate your repository with the amazon-braket topic, visit your repo's landing page and select "manage topics."