> For the complete documentation index, see [llms.txt](https://lewisla.gitbook.io/learning-quantum/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lewisla.gitbook.io/learning-quantum/getting-started/resources.md). # Resources Here I've compiled all the important links from throughout the tutorial. If you're looking for something I've mentioned, you should be able to find it here. ## General Resources ### Khan Academy In each section of this tutorial, I'll link to problem sets and detailed explanations on Khan Academy for those who require additional review material. You can find a complete list of all the additional review material in the summary for each section. ## Tools ### [Python](https://www.python.org/) All of the development tutorials on this website will be based on python. If you need to install python, you can head to the [*python website*](https://www.python.org/about/) to download and install the latest version. You'll need at least version **3.5 or later**. If you need to learn more about python, you can head to the [python beginners guide](https://www.python.org/about/gettingstarted/) for more information. There are a bunch of [python tutorials on YouTube](https://www.youtube.com/watch?v=_uQrJ0TkZlc) to help you get started. The University of Windsor also offers a python course. ### [Anaconda](https://www.anaconda.com/) In order to continue with these tutorials you must install Anaconda - a python distribution specifically designed for data science. You can jump right into it and [download Anaconda here](https://www.anaconda.com/distribution/). *Make sure that you download the 3.7 version*, as all the tutorials here will be based on that. You can find an [Anaconda installation guide here](https://www.youtube.com/watch?v=YJC6ldI3hWk). ### [Jupyter](https://jupyter.org/index.html) I will use Jupyter Notebooks occasionally, and you may like to as well. They're especially handy because they *come installed with Anaconda*. You can fine [more information about Jupyter here](https://jupyter.org/documentation). ### [Qiskit](https://qiskit.org/) This website will use the Qiskit programming library - a python library developed by IBM for use on their quantum systems. The [Qiskit YouTube channel](https://www.youtube.com/Qiskit) is a resource for anyone getting started. They have a bunch of helpful tutorials there for you to watch if you'd like to. The [Qiskit installation guide]() is good for users already comfortable with python. You can also find [a video tutorial for how to install Qiskit here](https://www.youtube.com/watch?v=M4EkW4VwhcI). There are also tutorials for getting started programming there. There are also other Qiskit resources available, like... * The [Qiskit Slack workspace](https://qiskit.slack.com/) * Qiskit on the [quantum computing Stack Exchange](https://quantumcomputing.stackexchange.com/questions/tagged/qiskit) * [Medium articles on Qiskit](https://medium.com/qiskit) ### [IBMQ](https://www.ibm.com/quantum-computing/) You can run your quantum code on IBM's system. In order to do that, you'll need an [IBMQ account](https://qiskit.org/ibmqaccount). [Setup your IBM Quantum Experience account here](https://quantum-computing.ibm.com/login). Once you've done that, you'll get access to an API token - don't worry, you'll be prompted on how to find it during the tutorial. ## Understanding Quantum I'll be going through the basics on Quantum here on with website, but if you're looking for more, try these: ### Videos * [daytone||wanger]() does a [YouTube series on quantum computing](https://www.youtube.com/playlist?list=PLIxlJjN2V90w3KBWpELOE7jNQMICxoRwc) ### Reading * [An Introduction to Quantum Computing](https://www.amazon.ca/Introduction-Quantum-Computing-Phillip-Kaye/dp/019857049X/ref=sr_1_1?crid=1ZAVOFSAW3G9S\&keywords=introduction+to+quantum+computing\&qid=1584847889\&sprefix=an+introduction+to+quantum+computing%2Caps%2C152\&sr=8-1), by Phillip Kaye, Raymond Laflamme, & Michele Mosca * [Introduction to Quantum Mechanics](https://www.amazon.ca/Introduction-Quantum-Mechanics-David-Griffiths/dp/0131118927), by David J. Griffiths * [Quantum Computation and Quantum Information](https://www.amazon.ca/Quantum-Computation-Information-10th-Anniversary/dp/1107002176), by Michael A. Nielsen * [Learn Quantum Computation using Qiskit](https://qiskit.org/textbook/preface.html)