From c9845b870b3a76c93242ab162cfbe4b35d08d166 Mon Sep 17 00:00:00 2001 From: Ryan Hill Date: Mon, 21 Aug 2023 18:25:41 -0500 Subject: [PATCH] Update README.md Add qBraid entries --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index f26bfdb..9b74e2c 100644 --- a/README.md +++ b/README.md @@ -36,6 +36,7 @@ For further resources related to Open Source Quantum Software Projects, please c - [John Preskill's Notes on Quantum Computation](http://www.theory.caltech.edu/~preskill/ph219/index.html#lecture) - Notes of Caltech's Quantum Computation Course Physics 219/Computer Science 219 by John Preskill. - [Nielsen and Chuang](https://workedproblems.wordpress.com/category/nielsenchuang/) - Worked examples on quantum algorithm problems. - [Qiskit Tutorials](https://github.com/Qiskit/qiskit-tutorial) - Jupyter notebooks simply demonstrating how to use Qiskit. +- [Qubes Course](https://qbook.qbraid.com/) - Free beginner quantum computing course with mix of interactive widgets, code examples, quiz questions, and video lectures, developed by qBraid. - [Quantum Algorithm Implementations for Beginners](https://arxiv.org/pdf/1804.03719.pdf) - A brif survey of 20 different quantum algorithms using qiskit. - [Quantum Algorithm Zoo](http://math.nist.gov/quantum/zoo/) - Comprehensive catalog of quantum algorithms. - [Quantum Algorithms](https://quantumalgorithms.org/) - Open-source set of lectures notes on quantum algorithms, with a focus on machine learning and data analysis. @@ -89,6 +90,8 @@ For further resources related to Open Source Quantum Software Projects, please c - [Project Q](http://projectq.ch/) - Framework for implementing quantum computing in Python. - [pyQuil](https://github.com/rigetticomputing/pyquil) - Python library for quantum programming using Quil by Rigetti. - [pytket](https://cqcl.github.io/pytket/build/html/index.html) - Python module for interfacing with Cambridge Quantum Computing's t|ket>; a tool for circuit optimising and qubit allocation. +- [qBraid Lab](https://docs.qbraid.com/en/latest/lab/overview.html) - Web-based JupyterLab deployment providing quantum-specific developer tools and hosted CPU, GPU, QPU access. +- [qBraid SDK](https://github.com/qBraid/qBraid) - Python toolkit for cross-framework abstraction, transpilation, and execution of quantum programs. - [QCL](http://tph.tuwien.ac.at/~oemer/qcl.html) - Older, C like language for quantum computers. Only has a simulator and debugger. - [Qiskit SDK](https://qiskit.org) - Software development kit by IBM for writing and running quantum algorithms on simulators and real hardware. - [Qiskit.js](https://github.com/QISKit/qiskit-js) - Qiskit for JavaScript made by IBM.