When we learn classic compute algorithms, we don't start with learning how a computer is built. We don't start with how a transistor works or how to build integrated circuits. Instead, we go straight with the abstraction - bits, commands, programs and such. I think we should take the same approach when we learn quantum computing. Instead of trying to understand the bizarre quantum world, we should take some quantum behaviors granted and go straight with higher-level abstracts such as qubits and quantum gates. And once we grasp these basic concepts, we should go even a level higher to use a high-level language like Q# and focus on how quantum algorithms work, and how we can apply quantum algorithms on practical problems.

Bono is an open source quantum algorithm visualizer I'm building in the open. This project is inspired by a few existing systems such as Quirk, IBM Q Experience, and the Programming Quantum Computers book. Bono is a Javascript-based visualizer that features:

• Drag-and-drop quantum circuit editing.
• Dynamic circuit evaluation.
• Works offline in a browser. No server is needed.
•  Generates Q# code.