diff --git a/Project.toml b/Project.toml index d5e3a93..d1b1429 100644 --- a/Project.toml +++ b/Project.toml @@ -13,6 +13,7 @@ MPSKitModels = "ca635005-6f8c-4cd1-b51d-8491250ef2ab" OptimKit = "77e91f04-9b3b-57a6-a776-40b61faaebe0" Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a" Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7" +Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" TensorKit = "07d1fe3e-3e46-537d-9eac-e9e13d0d4cec" VectorInterface = "409d34a3-91d5-4945-b6ec-7529ddf182d8" Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f" diff --git a/examples/heisenberg.jl b/examples/heisenberg.jl index 7344305..c3d82a1 100644 --- a/examples/heisenberg.jl +++ b/examples/heisenberg.jl @@ -42,6 +42,6 @@ optalg = PEPSOptimize{NaiveAD}(; # Ground state search ψinit = init_peps(2, χbond, 1, 1) -envinit = leading_boundary(ψinit, ctmalg, CTMRGEnv(ψinit; Venv=ℂ^χenv)) +envinit, = leading_boundary(ψinit, ctmalg, CTMRGEnv(ψinit; Venv=ℂ^χenv)); result = groundsearch(H, ctmalg, optalg, ψinit, envinit) @show result.E₀ diff --git a/src/PEPSKit.jl b/src/PEPSKit.jl index aa8c37c..3ea9589 100644 --- a/src/PEPSKit.jl +++ b/src/PEPSKit.jl @@ -1,6 +1,6 @@ module PEPSKit -using LinearAlgebra, Base.Threads, Base.Iterators, Printf +using LinearAlgebra, Statistics, Base.Threads, Base.Iterators, Printf using Accessors using VectorInterface using TensorKit, KrylovKit, MPSKit, OptimKit diff --git a/src/algorithms/ctmrg.jl b/src/algorithms/ctmrg.jl index 8384497..2ffb9b1 100644 --- a/src/algorithms/ctmrg.jl +++ b/src/algorithms/ctmrg.jl @@ -13,10 +13,11 @@ function MPSKit.leading_boundary(state, alg::CTMRG, envinit=CTMRGEnv(state)) CSold = tsvd(envinit.corners[NORTHWEST]; alg=TensorKit.SVD())[2] TSold = tsvd(envinit.edges[NORTH]; alg=TensorKit.SVD())[2] ϵold = 1.0 - env = deepcopy(envinit) + Pleft, Pright = empty_projectors(eltype(env.edges), (4, size(state)...)) + for i in 1:(alg.maxiter) - env, _, _, ϵ = ctmrg_iter(state, env, alg) # Grow and renormalize in all 4 directions + env, Pleft, Pright, ϵ = ctmrg_iter(state, env, alg) # Grow and renormalize in all 4 directions # Compute convergence criteria and take max (TODO: How should we handle logging all of this?) Δϵ = abs((ϵold - ϵ) / ϵold) @@ -54,36 +55,115 @@ function MPSKit.leading_boundary(state, alg::CTMRG, envinit=CTMRGEnv(state)) ϵold = ϵ end - return env + env′, = ctmrg_iter(state, env, alg) + envfix, Pleftfix, Prightfix = gauge_fix(env, env′, Pleft, Pright) + @ignore_derivatives check_elementwise_conv(env, envfix) + return envfix, Pleftfix, Prightfix +end + +# Fix gauge of corner end edge tensors from last and second last CTMRG iteration +function gauge_fix( + envprev::CTMRGEnv{C,T}, envfinal::CTMRGEnv{C,T}, Pleft=nothing, Pright=nothing +) where {C,T} + # Compute gauge tensors by comparing signs + signs = map(zip(envprev.edges, envfinal.edges)) do (Tprev, Tfinal) + σ = sign.(convert(Array, Tprev)[1, 1, 1, :] ./ convert(Array, Tfinal)[1, 1, 1, :]) + Tensor(diagm(σ), space(Tfinal, 1) * space(Tfinal, 1)') + end + + # Correct relative phases + cornersfix = map(Iterators.product(axes(envfinal.corners)...)) do (dir, r, c) + @tensor Cfix[-1; -2] := + conj(signs[_prev(dir, 4), r, c][1 -1]) * + envfinal.corners[dir, r, c][1; 2] * + signs[dir, r, c][2, -2] + end + edgesfix = map(zip(signs, envfinal.edges)) do (σ, edge) + @tensor Tfix[-1 -2 -3; -4] := conj(σ[1 -1]) * edge[1 -2 -3; 2] * σ[2, -4] + end + + # Fix global phase + cornersgfix = map(zip(envprev.corners, cornersfix)) do (Cprev, Cfix) + φ = tr(Cprev) / tr(Cfix) # Extract phase via trace to make it differentiable + return φ * Cfix + end + envfix = CTMRGEnv(cornersgfix, edgesfix) + + # Gauge projectors for correct backpropagation + if !isnothing(Pleft) && !isnothing(Pright) + Pleftfix = map(zip(signs, Pleft)) do (σ, P) + @tensor Plfix[-1 -2 -3; -4] := P[-1 -2 -3; 1] * σ[1; -4] + end + Prightfix = map(zip(signs, Pright)) do (σ, P) + @tensor Prfix[-1; -2 -3 -4] := σ[-1; 1] * P[1; -2 -3 -4] + end + return envfix, Pleftfix, Prightfix + else + return envfix + end +end + +# Explicitly check if element-wise difference of fixed and final environment tensors are below some tolerance +function check_elementwise_conv( + envfinal::CTMRGEnv, envfix::CTMRGEnv; atol::Real=1e-6, print_conv=true +) + ΔC = map(zip(envfinal.corners, envfix.corners)) do (Cfin, Cfix) + return abs.(convert(Array, Cfix - Cfin)) + end + ΔCmax = maximum(maximum, ΔC) + ΔCmean = maximum(mean, ΔC) + Cerr = map(δ -> all(x -> x < atol, δ), ΔC) + + ΔT = map(zip(envfinal.edges, envfix.edges)) do (Tfin, Tfix) + return abs.(convert(Array, Tfix - Tfin)) + end + ΔTmax = maximum(maximum, ΔT) + ΔTmean = maximum(mean, ΔT) + Terr = map(δ -> all(x -> x < atol, δ), ΔT) + + if print_conv + if all(Cerr) && all(Terr) + println("{Cᵢ,Tᵢ} converged elementwise up to ϵ < $atol") + else + @warn "no elementwise convergence up to ϵ < $atol:" + for i in 1:4 + println("$i: all |Cⁿ⁺¹ - Cⁿ|ᵢⱼ < ϵ: ", Cerr[i]) + println("$i: all |Tⁿ⁺¹ - Tⁿ|ᵢⱼ < ϵ: ", Terr[i]) + end + end + println("maxᵢⱼ|Cⁿ⁺¹ - Cⁿ|ᵢⱼ = $ΔCmax") + println("mean |Cⁿ⁺¹ - Cⁿ|ᵢⱼ = $ΔCmean") + println("maxᵢⱼ|Tⁿ⁺¹ - Tⁿ|ᵢⱼ = $ΔTmax") + println("mean |Tⁿ⁺¹ - Tⁿ|ᵢⱼ = $ΔTmean") + end + + return Cerr, Terr end # One CTMRG iteration x′ = f(A, x) function ctmrg_iter(state, env::CTMRGEnv{C,T}, alg::CTMRG) where {C,T} ϵ = 0.0 - Prtype = tensormaptype(spacetype(T), numin(T), numout(T), storagetype(T)) - Pleft = Vector{Matrix{T}}(undef, 4) - Pright = Vector{Matrix{Prtype}}(undef, 4) + Pleft, Pright = empty_projectors(T, (4, size(state)...)) for i in 1:4 env, Pl, Pr, ϵ₀ = left_move(state, env, alg) state = rotate_north(state, EAST) env = rotate_north(env, EAST) ϵ = max(ϵ, ϵ₀) - @diffset Pleft[i] = Pl - @diffset Pright[i] = Pr + @diffset Pleft[i, :, :] .= Pl + @diffset Pright[i, :, :] .= Pr end return env, Pleft, Pright, ϵ end -# row environment, compute projectors and renormalize -function left_move(state, env::CTMRGEnv, alg::CTMRG) +# Grow environment, compute projectors and renormalize +function left_move(state, env::CTMRGEnv{C,T}, alg::CTMRG) where {C,T} corners::typeof(env.corners) = copy(env.corners) edges::typeof(env.edges) = copy(env.edges) ϵ = 0.0 + Pleft, Pright = empty_projectors(T, size(state)) - Pleft = similar(state.A, typeof(env.edges[1])) - Pright = similar(state.A, typeof(transpose(env.edges[1]))) for col in 1:size(state, 2) cnext = _next(col, size(state, 2)) @@ -198,20 +278,6 @@ end # Apply projectors to entire left half-environment to grow SW & NW corners, and W edge function grow_env_left(peps, Pl, Pr, C_sw, C_nw, T_s, T_w, T_n) - # @diffset @tensor corners[NORTHWEST, rop, cop][-1; -2] := - # envs.corners[NORTHWEST, rop, col][1, 2] * - # envs.edges[NORTH, rop, col][2, 3, 4, -2] * - # Q[-1; 1 3 4] - # @diffset @tensor corners[SOUTHWEST, rom, cop][-1; -2] := - # envs.corners[SOUTHWEST, rom, col][1, 4] * - # envs.edges[SOUTH, rom, col][-1, 2, 3, 1] * - # P[4 2 3; -2] - # @diffset @tensor edges[WEST, row, cop][-1 -2 -3; -4] := - # envs.edges[WEST, row, col][1 2 3; 4] * - # peps_above[row, col][9; 5 -2 7 2] * - # conj(peps_below[row, col][9; 6 -3 8 3]) * - # P[4 5 6; -4] * - # Q[-1; 1 7 8] @tensor C_sw′[-1; -2] := C_sw[1; 4] * T_s[-1 2 3; 1] * Pl[4 2 3; -2] @tensor C_nw′[-1; -2] := C_nw[1; 2] * T_n[2 3 4; -2] * Pr[-1; 1 3 4] @tensor T_w′[-1 -2 -3; -4] := diff --git a/src/algorithms/peps_opt.jl b/src/algorithms/peps_opt.jl index 3cc3433..104bee6 100644 --- a/src/algorithms/peps_opt.jl +++ b/src/algorithms/peps_opt.jl @@ -47,14 +47,14 @@ end # Energy cost function with proper backwards rule depending only on final CTMRG fixed-point # Mutates environment to reuse previous environments in optimization function costfun!(peps, env, H, ctmalg::CTMRG, optalg::PEPSOptimize) - env′ = leading_boundary(peps, ctmalg, env) + env′, = leading_boundary(peps, ctmalg, env) @diffset env = env′ return optalg.energyfun(peps, env′, H) end # Non-mutating version, recomputing environment from random initial guess in every optimization step function costfun(peps, env, H, ctmalg::CTMRG, optalg::PEPSOptimize) - env′ = deepcopy(env) # Create copy to make non-mutating + env′, = deepcopy(env) # Create copy to make non-mutating return costfun!(peps, env′, H, ctmalg, optalg) end @@ -80,7 +80,7 @@ end # Contraction of CTMRGEnv and PEPS tensors with open physical bonds function one_site_rho(peps::InfinitePEPS, env::CTMRGEnv{C,T}) where {C,T} - ρunitcell = map(Iterators.product(axes(env.corners, 2), axes(env.corners, 3))) do (r, c) + return map(Iterators.product(axes(env.corners, 2), axes(env.corners, 3))) do (r, c) @tensor ρ[-1; -2] := env.corners[NORTHWEST, r, c][1; 2] * env.edges[NORTH, r, c][2 3 4; 5] * @@ -92,14 +92,12 @@ function one_site_rho(peps::InfinitePEPS, env::CTMRGEnv{C,T}) where {C,T} env.edges[WEST, r, c][14 15 16; 1] * peps[r, c][-1; 3 7 11 15] * conj(peps[r, c][-2; 4 8 12 16]) - return ρ end - return ρunitcell end # Horizontally extended contraction of CTMRGEnv and PEPS tensors with open physical bonds function two_site_rho(peps::InfinitePEPS, env::CTMRGEnv{C,T}) where {C,T} - ρunitcell = map(Iterators.product(axes(env.corners, 2), axes(env.corners, 3))) do (r, c) + return map(Iterators.product(axes(env.corners, 2), axes(env.corners, 3))) do (r, c) cnext = _next(c, size(peps, 2)) @tensor ρ[-11 -20; -12 -18] := env.corners[NORTHWEST, r, c][1; 3] * @@ -116,9 +114,7 @@ function two_site_rho(peps::InfinitePEPS, env::CTMRGEnv{C,T}) where {C,T} conj(peps[r, c][-11; 8 19 10 9]) * peps[r, cnext][-18; 16 25 17 15] * conj(peps[r, cnext][-20; 22 26 21 19]) - return ρ end - return ρunitcell end # 1-site operator expectation values on unit cell diff --git a/src/utility/util.jl b/src/utility/util.jl index 893c339..bf23be5 100644 --- a/src/utility/util.jl +++ b/src/utility/util.jl @@ -47,6 +47,14 @@ function is_degenerate_spectrum( return false end +# Create empty projectors for given state without recomputing transpose +function empty_projectors(T::DataType, size) + Pleft = Array{T,length(size)}(undef, size) + Prtype = tensormaptype(spacetype(T), numin(T), numout(T), storagetype(T)) + Pright = Array{Prtype,length(size)}(undef, size) + return Pleft, Pright +end + # rotl90 is set to non_differentiable in ChainRules function ChainRulesCore.rrule(::typeof(rotl90), a::AbstractMatrix) function pb(x)