Search found 5 matches

by DK_Lee
05 Nov 2019, 08:23
Forum: HowTos and FAQ for TeNPy
Topic: N_sweeps_check & unit cell in infinite dmrg
Replies: 3
Views: 4126

Re: N_sweeps_check & unit cell in infinite dmrg

Thank you for your reply. I was a bit late to check it. As you mentioned above, 'nomr_error' is larger than 1.00e-05 and "UserWarning" pops up when 'N_sweeps_check'=1. On the other hand, the case of 'N_sweeps_check'=100 is not. In addition, while checking dmrg_params in tenpy.algorithms.dm...
by DK_Lee
21 Oct 2019, 03:36
Forum: HowTos and FAQ for TeNPy
Topic: N_sweeps_check & unit cell in infinite dmrg
Replies: 3
Views: 4126

N_sweeps_check & unit cell in infinite dmrg

Hi. I'm using the infinite dmrg in your TeNPy to simulate the spin-1 chain in the external field. and I fix the length of unit cell as 20 (L=20) When 'N_sweeps_check'= 10(default) in the gapless phase, the ground state does not converge very well (other dmrg_params are also default except 'chi_max'=...
by DK_Lee
18 Jul 2019, 02:17
Forum: HowTos and FAQ for TeNPy
Topic: Entanglement Entropy in 1D spin-1 XXZ chain
Replies: 4
Views: 5733

Re: Entanglement Entropy in 1D spin-1 XXZ chain

Thank you for your kindness,
I finally comprehend what you want to say for Q1.

Moreover, I overcome the problem for the different bond dimension as I tune the "dmrg_params" appropriately.

So, thank you again~
by DK_Lee
12 Jul 2019, 02:34
Forum: HowTos and FAQ for TeNPy
Topic: Entanglement Entropy in 1D spin-1 XXZ chain
Replies: 4
Views: 5733

Re: Entanglement Entropy in 1D spin-1 XXZ chain

Thank you so much to reply my questions. First of all, the last sentence (' This you could~ smaller.') in your answer for Q1 is not clear for me. Secondly, for Q2, I understand psi.get_SL(i) and psi.get_SR(i) are coincide with the singular value matrices for the left and right of site i, respectivel...
by DK_Lee
05 Jul 2019, 08:52
Forum: HowTos and FAQ for TeNPy
Topic: Entanglement Entropy in 1D spin-1 XXZ chain
Replies: 4
Views: 5733

Entanglement Entropy in 1D spin-1 XXZ chain

Hello~ I’m a everyday user of tenpy whose last update was 6th January. I use the iDMRG method and the system is 1D spin-1 XXZ chain: model_params = dict(S=1, L=2, Jx=1., Jy=1., Jz=Jz, D=0, bc_MPS='infinite', conserve='best', verbose=0) M = SpinChain(model_params) product_state = ["up"] * M...