def get_bipartition_rhos(state):
N = int(log(len(state), 2)) - 1
c = int(N/2)
left_rdms = [0] * c
left_rdm = mx.rdms(state, range(c))
left_rdms[-1] = left_rdm
right_rdms = [0] * (N - c)
right_rdm = mx.rdms(state, range(c+1, N+1))
right_rdms[0] = right_rdm
for j in range(c-1):
left_rdm = mx.traceout_last(left_rdm)
left_rdms[c-j-2] = left_rdm
right_rdm = mx.traceout_first(right_rdm)
right_rdms[j+1] = right_rdm
if N % 2 != 0:
right_rdm = mx.traceout_first(right_rdm)
right_rdms[-1] = right_rdm
return left_rdms + right_rdms
def get_bipartition_rhos(state):
N = int(log2(len(state))) - 1
c = int(N / 2)
left_rdms = [0] * c
left_rdm = mx.rdms(state, range(c))
left_rdms[-1] = left_rdm
right_rdms = [0] * (N - c)
right_rdm = mx.rdms(state, range(c + 1, N + 1))
right_rdms[0] = right_rdm
for j in range(c - 1):
left_rdm = mx.traceout_last(left_rdm)
left_rdms[c - j - 2] = left_rdm
right_rdm = mx.traceout_first(right_rdm)
right_rdms[j + 1] = right_rdm
if N % 2 != 0:
right_rdm = mx.traceout_first(right_rdm)
right_rdms[-1] = right_rdm
return left_rdms + right_rdms
def get_twosite_rhos(state):
L = int(log2(len(state)))
twosite_rhos = np.asarray(
[mx.rdms(state, [j, k]) for j in range(L) for k in iter(range(j))])
return twosite_rhos
def get_local_rhos(state):
L = int(log2(len(state)))
local_rhos = np.asarray([mx.rdms(state, [j]) for j in range(L)])
return local_rhos
def get_center_rho(state, out=None):
L = int(log2(len(state)))
center_rho = mx.rdms(state, list(range(int(L / 2))), out=out)
return center_rho
def get_rhojk(state):
L = int(log2(len(state)))
rhojk = np.asarray(
[mx.rdms(state, [j, k]) for j in range(L) for k in range(j)])
return rhojk
def get_rhoj(state):
L = int(log2(len(state)))
rhoj = np.asarray([mx.rdms(state, [j]) for j in range(L)])
return rhoj
def get_twosite_rhos(state):
L = int(log(len(state), 2))
twosite_rhos = np.asarray([mx.rdms(state, [j, k]) for j in range(L) for k in
range(j)])
return twosite_rhos
def get_local_rhos(state):
L = int(log(len(state), 2))
local_rhos = np.asarray([mx.rdms(state, [j]) for j in range(L)])
return local_rhos
def get_center_rho(state):
L = int(log(len(state), 2))
center_rho = mx.rdms(state, list(range(int(L/2))))
return center_rho
import copy
import matplotlib as mpl
from matplotlib.backends.backend_pdf import PdfPages
import json
from collections import namedtuple, Iterable, OrderedDict
from numpy import sin, cos, log, pi
import matrix as mx
import states as ss
import processing as pp
import fio as io
import sweep_eca as sweep
init_state = ss.make_state(3, [('E0_1', 1.0)])
r0 = mx.rdms(init_state, [0])
r1 = mx.rdms(init_state, [1])
r2 = mx.rdms(init_state, [2])
state_1 = mx.op_on_state(mx.listkron([ss.pauli['1']] * 2), [0, 2], init_state)
r0_1 = mx.rdms(state_1, [0])
r1_1 = mx.rdms(state_1, [1])
r2_1 = mx.rdms(state_1, [2])
rd = mx.rdms(state_1, [1, 2])
# sx and sz entropies
# -------------------
def sz(th):
p0 = 0.5 * (1.0 + cos(2.0 * th))
