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Where to learn this properly.

Six places the community keeps sending people, in the order they tend to be useful. All of them are free. None of them are ours, and none of them pay us.

Shelf 01Start here

Start here

No quantum background assumed. Both of these begin at the beginning.

  1. Qiskit Learning

    IBM Quantum

    Courses that run real circuits from the first lesson, on simulators and on IBM's hardware. The closest thing to a standard route in.

    Free, sign-in needed for hardwareOpen
  2. Quantum Country

    Andy Matuschak and Michael Nielsen

    An essay that tests you as you read and comes back days later to test you again, so the maths stays put. Slower than it looks, and worth it.

    FreeOpen
Shelf 02Build with

Build with

When you want to write something rather than read about it.

  1. PennyLane and the QML hub

    Xanadu

    Differentiable quantum programming, with demonstrations you can run and change. The usual first stop for anything touching machine learning.

    Free, open sourceOpen
  2. Curated repositories

    The community

    Simulators, compilers and teaching code worth reading. Our own monthly work order lives on the Build page, and a merged pull request there is worth 150 XP.

    Free, open sourceOpen
Shelf 03Keep up, and ask

Keep up, and ask

For when you are past the introductions.

  1. arXiv quant-ph

    Cornell University

    Every preprint in quantum physics, the day it lands. Part one of each Sunday session is usually built out of this week's list.

    FreeOpen
  2. Quantum Computing Stack Exchange

    Stack Exchange

    Where a precise question gets a precise answer from people who do this for a living. Search first: most beginner questions are already answered well.

    FreeOpen

Still stuck?

Ask in the WhatsApp group. Someone has almost certainly been stuck on the same thing, and the question often becomes part two of the next Sunday session.