A.C.E07

Please don't apologize, I am incredibly thankful you are sparing the time to discuss this with me. I see! In the paper I mentioned, the key condition is that the...

Did I understand what you explained accurately? Would the condition of keeping the bond dimension constant at the cost of minor infidelity sufficient for keeping the growth strictly linear?

I was wondering, would it be possible if you could perhaps kindly have a look at the paper I sent above? I fully understand that this is for github issues,...

My goal at the moment is to simply make an algorithm which would take a state vector (a normalized list of values, with a length of $2^N$, where $N$ is...

Ohh, that makes so much more sense now. I still am digesting it, but I think I am clear now. Thank you so much! May I keep this thread open?

Issue is still persisting.

``` Submodule path 'tt/cross/rectcross': checked out 'a9b840412775326731c4ba4d35fb196e1d212771' Submodule path 'tt/cross/rectcross/rect_maxvol': checked out 'ddfbe3d6c69cb261396768974de0a277368448fb' Submodule path 'tt/tt-fort': checked out '65a62e3a4d7b10ffd00e55628ba1216d1dae3fd9' Submodule path 'tt/utils/rect_maxvol': checked out 'ddfbe3d6c69cb261396768974de0a277368448fb' Cloning into 'ttpy'... Submodule 'tt/cross/rectcross'...

What would be the purpose of the graph besides visualization? I believe if it serves any logical purpose (by logical meaning we would use it elsewhere and try to interpret/infer...

Like so? ``` from dimod import ConstrainedQuadraticModel, Binary, quicksum cqm_test = ConstrainedQuadraticModel() vars = [Binary(f"X{i}") for i in range(7)] def add_constraint(cqm, vars, indices, biases, sense, rhs): if len(indices) != len(biases):...

Understood, I'll try to make a PR on this soon.