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using Test | ||
using ITensorNumericalAnalysis | ||
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using Graphs: SimpleGraph, uniform_tree | ||
using NamedGraphs: NamedGraph | ||
using ITensors: ITensors, Index, siteinds, dim, tags, replaceprime!, MPO, MPS, inner | ||
using ITensorNetworks: ITensorNetwork, dmrg, ttn, maxlinkdim | ||
using Dictionaries: Dictionary | ||
using Random: seed! | ||
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using UnicodePlots | ||
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#Solve the 2D Laplace equation on a random tree | ||
seed!(1234) | ||
L = 12 | ||
g = NamedGraph(SimpleGraph(uniform_tree(L))) | ||
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s = continuous_siteinds(g; map_dimension=2) | ||
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ψ_fxy = const_itn(s; c=1) | ||
@show maxlinkdim(ψ_fxy) | ||
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Zero_X = zero_point_op(s, [0, 1], 1) | ||
Zero_Y = zero_point_op(s, [0, 1], 2) | ||
Zero_X = truncate(Zero_X; cutoff=1e-14) | ||
Zero_Y = truncate(Zero_Y; cutoff=1e-14) | ||
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maxdim = 4 | ||
cutoff = 0e-8 #0e-16 | ||
ϕ_fxy = copy(ψ_fxy) | ||
ϕ_fxy = operate([Zero_X, Zero_Y], ϕ_fxy; cutoff, maxdim, normalize=true) | ||
@show maxlinkdim(ϕ_fxy) | ||
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n_grid = 100 | ||
x_vals, y_vals = grid_points(s, n_grid, 1), grid_points(s, n_grid, 2) | ||
vals = zeros((length(x_vals), length(y_vals))) | ||
for (i, x) in enumerate(x_vals) | ||
for (j, y) in enumerate(y_vals) | ||
vals[i, j] = real(calculate_fxyz(ϕ_fxy, [x, y]; alg="exact")) | ||
end | ||
end | ||
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println("Here is the heatmap of the 2D function") | ||
show(heatmap(vals; xfact=0.01, yfact=0.01, xoffset=0, yoffset=0, colormap=:inferno)) | ||
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n_grid = 100 | ||
x_vals = grid_points(s, n_grid, 1) | ||
y = 0.5 | ||
vals2 = zeros(length(x_vals)) | ||
for (i, x) in enumerate(x_vals) | ||
vals2[i] = real(calculate_fxyz(ϕ_fxy, [x, y]; alg="exact")) | ||
end | ||
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lp = lineplot(x_vals, vals2; name="cut x=$x") | ||
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y_vals = grid_points(s, n_grid, 2) | ||
x = 0.5 | ||
vals3 = zeros(length(y_vals)) | ||
for (i, y) in enumerate(y_vals) | ||
vals3[i] = real(calculate_fxyz(ϕ_fxy, [x, y]; alg="exact")) | ||
end | ||
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println("Here is a cut of the function at x = $x or y = $y") | ||
show(lineplot!(lp, y_vals, vals3; name="cut y=$y")) |