Disentangler for long-range model or for local 2-d lattice model
Disentangler for long-range model or for local 2-d lattice model
Does tenpy implements basics disentangler for two-d lattice model or long-range model.
Re: Disentangler for long-range model or for local 2-d lattice model
The disentanglers implemented in TeNPy act on two or more consecutive sites in the MPS language, but of course you can try to apply a bunch of them one after the other. It also has code that tries to bring a few sites next to each other and then disentangle them, but in my experience that didn't work so well...
Re: Disentangler for long-range model or for local 2-d lattice model
Which disentangler you are talking about, I was trying to calculate low temperature physics in 2-d Honeycomb Kitaev model, but there is sever growth in entropy, at low temp, so disentangler might help me in that case as I can see in your paper(for 1-d model), which reduces it to half.
Is this possible with current implementation?
Is this possible with current implementation?