Use random_mps

Project.toml

@@ -1,7 +1,7 @@
 name = "ITensorTDVP"
 uuid = "25707e16-a4db-4a07-99d9-4d67b7af0342"
 authors = ["Matthew Fishman <mfishman@flatironinstitute.org> and contributors"]
-version = "0.4.2"
+version = "0.4.3"
 
 [deps]
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"

examples/01_tdvp.jl

@@ -1,4 +1,4 @@
-using ITensors: MPO, OpSum, dmrg, inner, randomMPS, siteinds
+using ITensors: MPO, OpSum, dmrg, inner, random_mps, siteinds
 using ITensorTDVP: tdvp
 
 function main()
@@ -16,7 +16,7 @@ function main()
   end
 
   H = MPO(heisenberg(n), s)
-  ψ = randomMPS(s, "↑"; linkdims=10)
+  ψ = random_mps(s, "↑"; linkdims=10)
 
   @show inner(ψ', H, ψ) / inner(ψ, ψ)
 

examples/03_tdvp_time_dependent.jl

@@ -1,5 +1,5 @@
 using ITensors: @disable_warn_order, contract
-using ITensors: MPO, MPS, inner, randomMPS, siteinds
+using ITensors: MPO, MPS, inner, random_mps, siteinds
 using ITensorTDVP: tdvp
 using LinearAlgebra: norm
 using Random: Random
@@ -73,7 +73,7 @@ function main()
   # Initial state, ψ₀ = ψ(0)
   # Initialize as complex since that is what OrdinaryDiffEq.jl/DifferentialEquations.jl
   # expects.
-  ψ₀ = complex.(randomMPS(s, j -> isodd(j) ? "↑" : "↓"; linkdims=start_linkdim))
+  ψ₀ = complex.(random_mps(s, j -> isodd(j) ? "↑" : "↓"; linkdims=start_linkdim))
 
   @show norm(ψ₀)
 

examples/Project.toml

@@ -6,3 +6,6 @@ KrylovKit = "0b1a1467-8014-51b9-945f-bf0ae24f4b77"
 Observers = "338f10d5-c7f1-4033-a7d1-f9dec39bcaa0"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+
+[compat]
+ITensors = "0.6.7"

test/Project.toml

@@ -11,3 +11,6 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Suppressor = "fd094767-a336-5f1f-9728-57cf17d0bbfb"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[compat]
+ITensors = "0.6.7"

test/test_contract.jl

@@ -1,6 +1,6 @@
 @eval module $(gensym())
 using ITensors: ITensors, dag, delta, denseblocks
-using ITensors: MPO, OpSum, apply, contract, inner, randomMPS, siteinds, truncate!
+using ITensors: MPO, OpSum, apply, contract, inner, random_mps, siteinds, truncate!
 using ITensorTDVP: ITensorTDVP
 using StableRNGs: StableRNG
 using Test: @test, @test_throws, @testset
@@ -12,7 +12,7 @@ using Test: @test, @test_throws, @testset
   N = 20
   s = siteinds("S=1/2", N; conserve_qns)
   rng = StableRNG(1234)
-  psi = randomMPS(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=8)
+  psi = random_mps(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=8)
   os = OpSum()
   for j in 1:(N - 1)
     os += 0.5, "S+", j, "S-", j + 1

test/test_dmrg.jl

@@ -1,5 +1,5 @@
 @eval module $(gensym())
-using ITensors: ITensors, MPO, OpSum, inner, randomMPS, siteinds
+using ITensors: ITensors, MPO, OpSum, inner, random_mps, siteinds
 using ITensorTDVP: ITensorTDVP
 using StableRNGs: StableRNG
 using Test: @test, @test_throws, @testset
@@ -20,7 +20,7 @@ using Test: @test, @test_throws, @testset
   end
   H = MPO(elt, os, s)
   rng = StableRNG(1234)
-  psi = randomMPS(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=20)
+  psi = random_mps(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=20)
   nsweeps = 10
   maxdim = [10, 20, 40, 100]
   @test_throws ErrorException ITensorTDVP.dmrg(H, psi; maxdim, cutoff, nsite)

test/test_expand.jl

@@ -1,6 +1,7 @@
 @eval module $(gensym())
 using ITensors: scalartype
-using ITensors.ITensorMPS: OpSum, MPO, MPS, inner, linkdims, maxlinkdim, randomMPS, siteinds
+using ITensors.ITensorMPS:
+  OpSum, MPO, MPS, inner, linkdims, maxlinkdim, random_mps, siteinds
 using ITensorTDVP: dmrg, expand, tdvp
 using LinearAlgebra: normalize
 using StableRNGs: StableRNG
@@ -14,8 +15,8 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
     n = 6
     s = siteinds("S=1/2", n; conserve_qns)
     rng = StableRNG(1234)
-    state = randomMPS(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=4)
-    reference = randomMPS(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=2)
+    state = random_mps(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=4)
+    reference = random_mps(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=2)
     state_expanded = expand(state, [reference]; alg="orthogonalize")
     @test scalartype(state_expanded) === elt
     @test inner(state_expanded, state) ≈ inner(state, state)
@@ -58,7 +59,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
     end
     operator = MPO(elt, opsum, s)
     rng = StableRNG(1234)
-    init = randomMPS(rng, elt, s; linkdims=30)
+    init = random_mps(rng, elt, s; linkdims=30)
     reference_energy, reference_state = dmrg(
       operator,
       init;
@@ -68,7 +69,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
       noise=(√(eps(real(elt)))),
     )
     rng = StableRNG(1234)
-    state = randomMPS(rng, elt, s)
+    state = random_mps(rng, elt, s)
     nexpansions = 10
     tau = elt(0.5)
     for step in 1:nexpansions

test/test_linsolve.jl

@@ -1,6 +1,6 @@
 @eval module $(gensym())
 using ITensors: scalartype
-using ITensors.ITensorMPS: MPO, OpSum, apply, randomMPS, siteinds
+using ITensors.ITensorMPS: MPO, OpSum, apply, random_mps, siteinds
 using ITensorTDVP: ITensorTDVP, dmrg
 using KrylovKit: linsolve
 using LinearAlgebra: norm
@@ -23,15 +23,15 @@ using Random: Random
   H = MPO(elt, os, s)
   state = [isodd(n) ? "Up" : "Dn" for n in 1:N]
   rng = StableRNG(1234)
-  x_c = randomMPS(rng, elt, s, state; linkdims=2)
+  x_c = random_mps(rng, elt, s, state; linkdims=2)
   e, x_c = dmrg(H, x_c; nsweeps=10, cutoff=1e-6, maxdim=20, outputlevel=0)
   @test scalartype(x_c) == elt
   # Compute `b = H * x_c`
   b = apply(H, x_c; cutoff=1e-8)
   @test scalartype(b) == elt
   # Starting guess
   rng = StableRNG(1234)
-  x0 = x_c + elt(0.05) * randomMPS(rng, elt, s, state; linkdims=2)
+  x0 = x_c + elt(0.05) * random_mps(rng, elt, s, state; linkdims=2)
   @test scalartype(x0) == elt
   nsweeps = 10
   cutoff = 1e-5

test/test_tdvp.jl

@@ -13,7 +13,7 @@ using ITensors:
   noprime,
   op,
   prime,
-  randomMPS,
+  random_mps,
   scalar,
   siteinds
 using ITensorTDVP: ITensorTDVP, tdvp
@@ -35,7 +35,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
   end
   H = MPO(elt, os, s)
   rng = StableRNG(1234)
-  ψ0 = randomMPS(rng, elt, s; linkdims=10)
+  ψ0 = random_mps(rng, elt, s; linkdims=10)
   time_step = elt(0.1) * im
   # Time evolve forward:
   ψ1 = tdvp(H, -time_step, ψ0; cutoff, nsite=1)
@@ -74,7 +74,7 @@ end
   H2 = MPO(elt, os2, s)
   Hs = [H1, H2]
   rng = StableRNG(1234)
-  ψ0 = randomMPS(rng, elt, s; linkdims=10)
+  ψ0 = random_mps(rng, elt, s; linkdims=10)
   ψ1 = tdvp(Hs, -elt(0.1) * im, ψ0; cutoff, nsite=1)
   @test ITensors.scalartype(ψ1) === complex(elt)
   @test norm(ψ1) ≈ 1 rtol = √eps(real(elt))
@@ -102,7 +102,7 @@ end
   end
   H = MPO(os, s)
   rng = StableRNG(1234)
-  ψ0 = randomMPS(rng, s; linkdims=10)
+  ψ0 = random_mps(rng, s; linkdims=10)
   function updater(PH, state0; internal_kwargs, kwargs...)
     return exponentiate(PH, internal_kwargs.time_step, state0; kwargs...)
   end
@@ -257,7 +257,7 @@ end
   end
   H = MPO(os, s)
   rng = StableRNG(1234)
-  state = randomMPS(rng, s; linkdims=2)
+  state = random_mps(rng, s; linkdims=2)
   state2 = deepcopy(state)
   trange = 0.0:tau:ttotal
   for (step, t) in enumerate(trange)

test/test_tdvp_time_dependent.jl

@@ -1,6 +1,6 @@
 @eval module $(gensym())
-using ITensors: ITensors, Index, QN, contract, randomITensor, scalartype
-using ITensors.ITensorMPS: MPO, MPS, ProjMPO, ProjMPOSum, randomMPS, position!, siteinds
+using ITensors: ITensors, Index, QN, contract, scalartype
+using ITensors.ITensorMPS: MPO, MPS, ProjMPO, ProjMPOSum, random_mps, position!, siteinds
 using ITensorTDVP: ITensorTDVP, TimeDependentSum, tdvp
 using LinearAlgebra: norm
 using StableRNGs: StableRNG
@@ -19,7 +19,7 @@ include(joinpath(pkgdir(ITensorTDVP), "examples", "03_updaters.jl"))
     H⃗ = (H, H)
     region = 2:3
     rng = StableRNG(1234)
-    ψ = randomMPS(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=2)
+    ψ = random_mps(rng, elt, s, j -> isodd(j) ? "↑" : "↓"; linkdims=2)
     H⃗ᵣ = ProjMPO.(H⃗)
     map(Hᵣ -> position!(Hᵣ, ψ, first(region)), H⃗ᵣ)
     ∑Hᵣ = ProjMPOSum(collect(H⃗))