Masato Fukushima

@EarlMilktea Thanks for you comment! I didn't know that @shinich1 Dropping support for 3.9 seems a bit excessive because physicists do not update python versions frequently. I think updating python...

I will remove `graph_prep` argument and `mps` keyword later becuase the former is not critical point in tensor network calculation and the latter is not properly implemneted in Graphix.

@shinich1 Thank you for your comment! `tensor-based` is not what I mean here because the conventional state vector simulator is also a 'tensor-based' simulator. I wanna express 'perform contraction in...

How about "Efficient Contraction Order(ECO) Statevector Simulator"? @shinich1 (ChatGPT suggests this name and it sounds nice to me:))

> generate_from_graph should generate from graph, not from (g)flow. It seems a bit strange to me. The `generate_from_graph` actually constructs pattern using both (g)flow and a graph with planes and...

Although it might be out of context, it could be possible to create a more general method, which construct a pattern from graph, 'x_flow', and 'z_flow', not limited to (g)flow....

> imagine being a first-time user searching for an appropriate method for creating pattern from flow. How is s/he supposed to find the optional argument trick? flow is not a...

I don't think we need to identify type of the given flow.

@king-p3nguin Hi! I have a question about one of the methods you show. Would you explain the more detail of `.to_dict()`? I don't grasp the overview of this method.

Thanks for the good comments! @shinich1 @FlorianFuerrutter As far as I understand, direct construction from tensornetwork seems to be the most efficient method, no matter the type of flow(causal flow...