[throwaway37585]

> [Quantum circuits] do not provide an insight into entanglement

What do you mean? Entanglement occurs whenever the state of a system cannot be factored into a product of the states of its components. Quantum circuits can definitely do that. Just take a qubit, apply the Hadamard gate to it, then CNOT it with a second qubit to get an entangled Bell state. You can see it in action here: http://demonstrations.wolfram.com/GeneratingEntangledQubits/.

Quantum circuits are also used to describe all kinds of quantum algorithms (quantum Fourier transform, Grover’s algorithm, quantum teleportation, etc).

[antpls]

I'm not sure about the actual intent of the grand-parent, but I think it was referring to insight that a larger audience can understand.

I have a CS degree, and I don't know what is "Hadamard", "Bell state", etc. Also your link doesn't load on Firefox Mobile Android, so it didn't help :-)

Proposing a Python library about Quantum Computing is an attempt at explaining mechanisms to a larger audience (surely it is not an easy task)

Edit : the link finally loaded on another tab while writing the comment, but you have to pay for a license of Wolf.A. to run it, I guess. That can't be arguably considered "accessible" knowledge.

[randomsearch]

I mean, they do not illustrate when qubits have become entangled. You can't see that. I'm sure we can do better.

[throwaway37585]

I’m not sure what you mean by “illustrate when qubits have become entangled”. Can you explain?

[randomsearch]

Entanglement is fundamental to QC, right? So in order to be a useful visualisation of an algorithm, a pictorial representation like a circuit should give some intuition to aid understanding such as: which qubits can potentially be entangled at a given stage in the circuit, etc.

[throwaway37585]

Why is this (or the demo I linked to earlier) not a satisfactory representation?

https://qph.fs.quoracdn.net/main-qimg-1ab704621d3c845630ab6f....