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| 1 | +using MPSKit, TensorKit |
| 2 | +import LinearAlgebra.eigvals |
| 3 | +using MPSKit: max_virtualspaces |
| 4 | + |
| 5 | +V = U1Space(i => 1 for i in 0:1) |
| 6 | +O = randn(V^2 ← V^2) |
| 7 | +O += O' # Hermitian |
| 8 | + |
| 9 | +N = 3 |
| 10 | +H = FiniteMPOHamiltonian(fill(V, N), (i, i + 1) => O for i in 1:(N - 1)); |
| 11 | + |
| 12 | +h = convert(TensorMap, H); |
| 13 | + |
| 14 | +sectors = collect(blocksectors(h)) |
| 15 | +sec = U1Irrep(1) |
| 16 | +@assert sec in sectors |
| 17 | +num = 10 |
| 18 | +vals1 = eigvals(block(h, sec)) |
| 19 | +vals2 = eigvals(h)[sec] |
| 20 | +@assert vals1 ≈ vals2 |
| 21 | +vals3, vecs = exact_diagonalization(H; sector=(sec), num); |
| 22 | +vals1 |
| 23 | +vals3 |
| 24 | + |
| 25 | +right = U1Space(sec => 1) |
| 26 | +max_virtualspaces(physicalspace(H); right) |
| 27 | + |
| 28 | +psi_full = rand(oneunit(V) * V^N ← right); |
| 29 | +dim(space(psi_full)) |
| 30 | +psi = MPSKit.decompose_localmps(psi_full); |
| 31 | +left_virtualspace.(psi) |
| 32 | + |
| 33 | +left_virtualspace.(vecs[1].AL) |
| 34 | +right_virtualspace.(vecs[1].AL) |
| 35 | +max_virtualspaces(physicalspace(H); right) |
| 36 | +psi1 = FiniteMPS(physicalspace(H), max_virtualspaces(physicalspace(H))[2:(end - 1)]) |
| 37 | +psi1, = find_groundstate(psi1, H); |
| 38 | +psi2 = FiniteMPS(physicalspace(H), max_virtualspaces(physicalspace(H); right)[2:(end - 1)]; |
| 39 | + right) |
| 40 | +left_virtualspace.(psi2.AL) |
| 41 | +right_virtualspace.(psi2.AL) |
| 42 | + |
| 43 | +psi2, = find_groundstate(psi2, H); |
| 44 | +expectation_value(psi2, H) |
| 45 | + |
| 46 | +Es, Bs = excitations(H, QuasiparticleAnsatz(), FiniteMPS(psi); sector=sec); |
| 47 | +@inferred excitations(H, QuasiparticleAnsatz(), FiniteMPS(psi); sector=sec); |
| 48 | + |
| 49 | +Es .+ expectation_value(psi1, H) |
| 50 | + |
| 51 | +vals1 |
| 52 | +vals3 |
| 53 | + |
| 54 | +psi2 |
| 55 | +using TestEnv |
| 56 | +using Test |
| 57 | +TestEnv.activate() |
| 58 | +include("setup.jl") |
| 59 | +using .TestSetup |
| 60 | +using TensorKit, MPSKit |
| 61 | +using MPSKit: Multiline |
| 62 | +using KrylovKit |
| 63 | + |
| 64 | +H = repeat(TestSetup.sixvertex(), 2) |
| 65 | +ψ = InfiniteMPS([ℂ^2, ℂ^2], [ℂ^10, ℂ^10]) |
| 66 | +ψ, envs, _ = leading_boundary(ψ, H, |
| 67 | + VUMPS(; maxiter=400, tol=1e-10)) |
| 68 | +energies, ϕs = @inferred excitations(H, QuasiparticleAnsatz(), |
| 69 | + [0.0, Float64(pi / 2)], ψ, |
| 70 | + envs; verbosity=0) |
| 71 | +@test abs(energies[1]) > abs(energies[2]) # has a minimum at pi/2 |
| 72 | +alg = QuasiparticleAnsatz() |
| 73 | +ps = [0.0, Float64(pi / 2)] |
| 74 | +excitations(H, alg, ps, ψ, envs; verbosity=0); |
| 75 | +using Cthulhu |
| 76 | +Hm = convert(MultilineMPO, H); |
| 77 | +psim = convert(MultilineMPS, ψ); |
| 78 | +envs = environments(psim, Hm); |
| 79 | +excitations(Hm, alg, ps[1], psim, envs, psim, envs; verbosity=0); |
| 80 | + |
| 81 | +@descend excitations(Hm, alg, ps[1], psim, envs, psim, envs); |
| 82 | + |
| 83 | +qp = Multiline([LeftGaugedQP(rand, psim[1], psim[1]; sector=one(sectortype(psim[1])), |
| 84 | + momentum=ps[1])]); |
| 85 | +excitations(Hm, alg, qp, envs, envs; num=1); |
| 86 | + |
| 87 | +@descend excitations(Hm, alg, qp, envs, envs; num=1); |
| 88 | +@code_warntype excitations(Hm, alg, qp, envs, envs; num=1); |
| 89 | + |
| 90 | +Heff = MPSKit.EffectiveExcitationHamiltonian(H, envs[1], envs[1], fill(1.0, length(H))); |
| 91 | +Heffs = Multiline([Heff]); |
| 92 | +@code_warntype KrylovKit.apply(Heff, qp[1]) |
| 93 | +@descend KrylovKit.apply(Heff, qp[1]) |
| 94 | + |
| 95 | +KrylovKit.apply(Multiline([Heff]), qp); |
| 96 | +@code_warntype KrylovKit.apply(Heffs, qp); |
| 97 | + |
| 98 | +@descend eigsolve(Heffs, qp, 1, :LM, Lanczos()); |
| 99 | +@code_warntype eigsolve(Heffs, qp, 1, :LM); |
| 100 | +@descend eigsolve(Heffs, qp, 1, :LM); |
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