Where to Start Learning Quantum Computing

You would suggest as a place to start. I know we said maybe you should have a background a little bit of background in linear algebra and some of these mathematical techniques, but are there other areas you would say, "Okay, hey, if you're interested start here. " Just getting reminded or maybe learn about classical computing. So, for example, how our gates work, how bits work, the basics. So, you kind of understand how quantum computing is different fundamentally from that. If you're not at a university you're like kind of doing some of the stuff on your own, you want to learn a little bit about it. — Starting with understanding what's available right now. So, if you know Python, then you're already there. Like for example, we mentioned Qiskit which is IBM's ecosystem. And then we have Cirq which is Google's. You can integrate it with TensorFlow for quantum machine learning. And I mentioned Classiq, they have a language called Qmod which also has a Python wrapper. They're hardware agnostic so you can write a program and then you can optimize it and then run it on a quantum hardware of your choosing. Another one is PennyLane, Xanadu's PennyLane. If you want to go towards the quantum machine learning route, they're also a Python library that you can use. And I also suggest Aqora. io. They have events, competitions, discussions, data set sharing.