Resources

• The Talk, quantum computing isn’t about computing all options in parallel!

Learning

• Quantum Computing for the Very Curious may be the best introduction if you don’t know anything about quantum computing.

• Scott Aaronson’s Quantum Information Science lecture notes cover the math and theory behind it all.

• Thomas Wong’s textbook is an introductory book which takes the time to give you the foundations in classical computing before teaching you quantum computing.

• Qiskit is a library for running quantum circuits, and they have a series of tutorials going in depth on how to design them.

• Pennylane is a framework for quantum machine learning, and they have nicely illustrated explanations of many quantum concepts.

• The Stanford Encyclopedia of Philosophy has a few articles introducing the fundamental ideas in computability and complexity theory.

In the Field

• arXiv is the place where all papers are published before they get approved by journals

• SciRate is an arXiv wrapper which quantum researchers use to upvote and comment on the most cutting edge papers.

• Quantum Grad has articles and information on internship and research opportunities.

Community

• Shtetl Optimized is Scott Aaronson’s blog. He’s both a theoretical computer scientist and a clever guy with a blog.

• Musty Thoughts is a blog that does a great job at explaining concepts for people who aren’t PhD phsicists.

• Quantum Frontiers is a blog by the Institute for Quantum Information and Matter at Caltech

• Computational Complexity is a blog about, well, computational complexity!