qFold on Amazon Braket - Multi-language Guide

Quick guide to deploying the quantum protein folding algorithm on AWS Braket.

Console access: Log in to your AWS account and navigate to Amazon Braket. Make sure you are in a region that supports the required devices (e.g., us-east-1).

Create a notebook: In the left menu, select Notebooks → Create notebook instance.

Name: qfold-instance
Type: ml.t3.medium (minimum sufficient)

Open Jupyter: When the status changes to InService, click Open JupyterLab.

Find qFold: Navigate to amazon-braket-examples / examples / hybrid_quantum_algorithms / qfold and open the file qfold.ipynb.

Device configuration: In the code, find the device variable.

For free test: LocalSimulator()
For QPU: provide ARN (e.g., Rigetti or IonQ).

Note: Running on real QPU is paid. First debug on a local simulator.

Run: Click Run → Run All Cells. The protein structure optimization results will appear in the bottom cells.

Interactive Console

$ Welcome to qFold demo terminal

$ Type 'help' to see available commands

$ Example: device = LocalSimulator()

$ ─────────────────────────────

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💡 help — show commands | clear — clear console | run_qfold — simulate qFold execution