TeNPy Forum

Thanks so much, Johannes! The point you understood was exactly correct. Indeed, I was having a look at the paper that you made a reference. I was imagining the current TEBD can be reused to apply TEBD to the canonical PEPS state, but as you have done with new Purification TEBD, I might need a new TE...

Hi! I am considering the problems of how to apply tebd on 2d lattices. My thought was to cut the 1d segments of 2d lattices and apply tebd on it. On implementing this idea, I have one problem. On constructing MPS states from these 1d segments, we have dangling legs across MPS states, vUP and vDOWN. ...

There is a relevant post here!

viewtopic.php?f=7&t=95

Maybe I can copy and paste the source code to define my own function that can be used without tebd class

Hi! I was checking the documents for the Gradient Descent Disentangler, and I had some concepts that I cannot understand. The document says dS = {\partial S(Utheta,n)} / {\partial U} R[i] is given by {\partial S(Y,n)} / {\partial Y_i} The point I cannot understand is how dS is given by: | .----X--R-...

Hi! I was trying to use RenyiDisentangler class. The parameter on the initialization is the 'parent', which is the tebd.Engine. However, in my case, I did now want to run the tebd algorithm, but only wanted to get the disentangler in the end. I think I do not need tebd for the disentangler, as I rea...

At the function example_TEBD_gs_tf_ising_infinite, the energy per site is calculated as

E = np.sum(M.bond_energies(psi))

I think you missed 1/2 here.
It can be clearly seen at the final results on the relative error.

I see the difference!

Thanks Johannes

Hi! I am now learning how to use the Tenpy library and I am now following the example code. At the first a_np_conserved.py code, I tried to execute it, but it showed an error. The error was at B_even = npc.zeros([v_leg_even, v_leg_odd.conj(), p_leg], label=['vL', 'vR', 'p']) # virtual left/right, ph...