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Use random_itensor and random_mps #6

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May 17, 2024
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Use random_itensor and random_mps #6

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65ce148
Use random_itensor and random_mps
mtfishman May 17, 2024
12cd5e2
Bump to v0.1.11
mtfishman May 17, 2024
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2 changes: 1 addition & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "ITensorVisualizationBase"
uuid = "cd2553d2-8bef-4d93-8a38-c62f17d5ad23"
authors = ["Matthew Fishman <[email protected]> and contributors"]
version = "0.1.10"
version = "0.1.11"

[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -17,9 +17,9 @@ j = Index(10, "j")
k = Index(40, "k")
l = Index(40, "l")
m = Index(40, "m")
A = randomITensor(i, j, k)
B = randomITensor(i, j, l, m)
C = randomITensor(k, l)
A = random_itensor(i, j, k)
B = random_itensor(i, j, l, m)
C = random_itensor(k, l)
ABC = @visualize A * B * C
```
This will execute the contraction and output
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12 changes: 12 additions & 0 deletions examples/Project.toml
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@@ -0,0 +1,12 @@
[deps]
GeometryBasics = "5c1252a2-5f33-56bf-86c9-59e7332b4326"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
ITensorMPS = "0d1a4710-d33b-49a5-8f18-73bdf49b47e2"
ITensorVisualizationBase = "cd2553d2-8bef-4d93-8a38-c62f17d5ad23"
ITensors = "9136182c-28ba-11e9-034c-db9fb085ebd5"
LayeredLayouts = "f4a74d36-062a-4d48-97cd-1356bad1de4e"
NetworkLayout = "46757867-2c16-5918-afeb-47bfcb05e46a"

[compat]
ITensorMPS = "0.2.2"
ITensors = "0.6.8"
10 changes: 5 additions & 5 deletions examples/ex_dmrg.jl
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Expand Up @@ -14,11 +14,11 @@ x = Index([QN("Sz", 0) => 2]; tags="X")
y = Index([QN("Sz", 0) => 2]; tags="Y")

n = 2
ψn1n2 = randomITensor(l⃗[n - 1], s⃗[n], s⃗[n + 1], l⃗[n + 1], dag(x), dag(y))
hn1 = randomITensor(dag(h⃗[n - 1]), s⃗[n]', dag(s⃗[n]), h⃗[n], x, y)
hn2 = randomITensor(dag(h⃗[n]), s⃗[n + 1]', dag(s⃗[n + 1]), h⃗[n + 1])
ELn0 = randomITensor(l⃗[n - 1]', h⃗[n - 1], dag(l⃗[n - 1]))
ERn2 = randomITensor(l⃗[n + 1]', dag(h⃗[n + 1]), dag(l⃗[n + 1]))
ψn1n2 = random_itensor(l⃗[n - 1], s⃗[n], s⃗[n + 1], l⃗[n + 1], dag(x), dag(y))
hn1 = random_itensor(dag(h⃗[n - 1]), s⃗[n]', dag(s⃗[n]), h⃗[n], x, y)
hn2 = random_itensor(dag(h⃗[n]), s⃗[n + 1]', dag(s⃗[n + 1]), h⃗[n + 1])
ELn0 = random_itensor(l⃗[n - 1]', h⃗[n - 1], dag(l⃗[n - 1]))
ERn2 = random_itensor(l⃗[n + 1]', dag(h⃗[n + 1]), dag(l⃗[n + 1]))

edge_labels = (; plevs=true)

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2 changes: 1 addition & 1 deletion examples/ex_qn_mps.jl
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Expand Up @@ -3,7 +3,7 @@ using ITensorMPS
using ITensorVisualizationBase

s = siteinds("S=1/2", 5; conserve_qns=true)
ψ = randomMPS(s, n -> isodd(n) ? "↑" : "↓"; linkdims=2)
ψ = random_mps(s, n -> isodd(n) ? "↑" : "↓"; linkdims=2)
orthogonalize!(ψ, 2)
ψdag = prime(linkinds, dag(ψ))
tn = [ψ..., ψdag...]
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27 changes: 0 additions & 27 deletions examples/notest_ex_2d_circuit.jl
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23 changes: 0 additions & 23 deletions examples/notest_ex_qft_circuit.jl
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5 changes: 5 additions & 0 deletions test/Project.toml
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Expand Up @@ -2,7 +2,12 @@
GeometryBasics = "5c1252a2-5f33-56bf-86c9-59e7332b4326"
Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
ITensorMPS = "0d1a4710-d33b-49a5-8f18-73bdf49b47e2"
ITensorVisualizationBase = "cd2553d2-8bef-4d93-8a38-c62f17d5ad23"
ITensors = "9136182c-28ba-11e9-034c-db9fb085ebd5"
LayeredLayouts = "f4a74d36-062a-4d48-97cd-1356bad1de4e"
NetworkLayout = "46757867-2c16-5918-afeb-47bfcb05e46a"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[compat]
ITensorMPS = "0.2.2"
ITensors = "0.6.8"
10 changes: 5 additions & 5 deletions test/test_basics.jl
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Expand Up @@ -16,11 +16,11 @@ using Test
y = Index([QN("Sz", 0) => 2]; tags="Y")

n = 2
ψn1n2 = randomITensor(l⃗[n - 1], s⃗[n], s⃗[n + 1], l⃗[n + 1], dag(x), dag(y))
hn1 = randomITensor(dag(h⃗[n - 1]), s⃗[n]', dag(s⃗[n]), h⃗[n], x, y)
hn2 = randomITensor(dag(h⃗[n]), s⃗[n + 1]', dag(s⃗[n + 1]), h⃗[n + 1])
ELn0 = randomITensor(l⃗[n - 1]', h⃗[n - 1], dag(l⃗[n - 1]))
ERn2 = randomITensor(l⃗[n + 1]', dag(h⃗[n + 1]), dag(l⃗[n + 1]))
ψn1n2 = random_itensor(l⃗[n - 1], s⃗[n], s⃗[n + 1], l⃗[n + 1], dag(x), dag(y))
hn1 = random_itensor(dag(h⃗[n - 1]), s⃗[n]', dag(s⃗[n]), h⃗[n], x, y)
hn2 = random_itensor(dag(h⃗[n]), s⃗[n + 1]', dag(s⃗[n + 1]), h⃗[n + 1])
ELn0 = random_itensor(l⃗[n - 1]', h⃗[n - 1], dag(l⃗[n - 1]))
ERn2 = random_itensor(l⃗[n + 1]', dag(h⃗[n + 1]), dag(l⃗[n + 1]))

tn = [ELn0, ψn1n2, hn1, hn2, ERn2]

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