diff --git a/Project.toml b/Project.toml
index 99acc64..7fb5af7 100644
--- a/Project.toml
+++ b/Project.toml
@@ -6,16 +6,12 @@ version = "0.1.0"
 [deps]
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 LoggingExtras = "e6f89c97-d47a-5376-807f-9c37f3926c36"
-OptimKit = "77e91f04-9b3b-57a6-a776-40b61faaebe0"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 TensorKit = "07d1fe3e-3e46-537d-9eac-e9e13d0d4cec"
-Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [compat]
 LoggingExtras = "1.1.0"
-OptimKit = "0.3.1"
 TensorKit = "0.14"
-Zygote = "0.7.3"
 
 [extras]
 QuadGK = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
diff --git a/src/TRGKit.jl b/src/TRGKit.jl
index 8699d3f..2d9eb14 100644
--- a/src/TRGKit.jl
+++ b/src/TRGKit.jl
@@ -1,7 +1,6 @@
 module TRGKit
 using TensorKit, LinearAlgebra
 using LoggingExtras, Printf
-using Zygote, OptimKit
 
 # stop criteria
 include("utility/stopping.jl")
@@ -16,7 +15,6 @@ include("schemes/hotrg.jl")
 include("schemes/gilt.jl")
 include("schemes/gilt-tnr.jl")
 include("schemes/atrg.jl")
-include("schemes/slooptnr.jl")
 
 export TRGScheme
 export TRG, trg_convcrit
@@ -24,7 +22,6 @@ export BTRG, btrg_convcrit
 export HOTRG, hotrg_convcrit
 export ATRG, atrg_convcrit
 export GILTTNR, gilttnr_convcrit
-export SLoopTNR
 
 export run!
 
diff --git a/src/schemes/slooptnr.jl b/src/schemes/slooptnr.jl
deleted file mode 100644
index cdb16b7..0000000
--- a/src/schemes/slooptnr.jl
+++ /dev/null
@@ -1,69 +0,0 @@
-# TODO: rewrite SLoopTNR contractions to work with symmetric tensors
-mutable struct SLoopTNR <: TRGScheme
-    T::TensorMap
-
-    optimization_algorithm::OptimKit.OptimizationAlgorithm
-    finalize!::Function
-    function SLoopTNR(T::TensorMap;
-                      optimization_algorithm=LBFGS(8; verbosity=1, maxiter=500,
-                                                   gradtol=1e-4), finalize=finalize!)
-        @assert scalartype(T) <: Real "SLoopTNR only supports real-valued TensorMaps"
-        return new(T, optimization_algorithm, finalize)
-    end
-end
-
-function step!(scheme::SLoopTNR, trunc::TensorKit.TruncationScheme)
-    f(A) = _SLoopTNR_cost(permute(scheme.T, ((1, 2), (4, 3))), A) # Another convention was used when implementing SLoopTNR
-
-    function fg(f, A)
-        f, g = Zygote.withgradient(f, A)
-        return f, g[1]
-    end
-
-    Zygote.refresh()
-
-    U, S, _ = tsvd(permute(scheme.T, ((1, 2), (4, 3))); trunc=trunc)
-    S₀ = U * sqrt(S)
-    if norm(imag(S)) > 1e-12
-        @error "S is not real"
-    end
-    S_opt, _, _, _, _ = optimize(A -> fg(f, A), S₀, scheme.optimization_algorithm)
-
-    @tensor scheme.T[-1 -2; -4 -3] := S_opt[1 2 -3] * S_opt[1 4 -1] * S_opt[3 4 -2] *
-                                      S_opt[3 2 -4]
-end
-
-function ψAψA(T::AbstractTensorMap)
-    @tensor M[-1 -2 -3 -4] := T[1 -2 2 -4] * conj(T[1 -1 2 -3])
-    @tensor MM[-1 -2 -3 -4] := M[-1 -2 1 2] * M[-3 -4 1 2]
-    return @tensor MM[1 2 3 4] * MM[1 2 3 4]
-end
-
-function ψAψB(T::AbstractTensorMap, S::AbstractTensorMap)
-    @tensor M[-1 -2 -3 -4] := T[1 -2 2 -4] * conj(S[1 -1 3]) * conj(S[2 -3 3])
-    @tensor MM[-1 -2 -3 -4] := M[-1 -2 1 2] * M[-3 -4 1 2]
-    @tensor result = MM[1 2 3 4] * MM[1 2 3 4]
-    if norm(imag(result)) > 1e-12
-        @error "We only support real tensors"
-    end
-    return result
-end
-
-function ψBψB(S::AbstractTensorMap)
-    @tensor M[-1 -2 -3 -4] := S[1 -1 3] * conj(S[1 -2 4]) * S[2 -3 3] * conj(S[2 -4 4])
-    @tensor MM[-1 -2 -3 -4] := M[-1 -2 1 2] * M[-3 -4 1 2]
-    return @tensor MM[1 2 3 4] * MM[1 2 3 4] # This seems very bad for complex numbers
-end
-
-function _SLoopTNR_cost(T::AbstractTensorMap, S::AbstractTensorMap)
-    return ψAψA(T) - 2 * real(ψAψB(T, S)) + ψBψB(S)
-end
-
-slooptnr_convcrit(steps::Int, data) = abs(log(data[end]) * 2.0^(-steps))
-
-function Base.show(io::IO, scheme::SLoopTNR)
-    println(io, "SLoopTNR - Symmetric Loop TNR")
-    println(io, "  * T: $(summary(scheme.T))")
-    return println(io,
-                   "  * Optimization algorithm: $(summary(scheme.optimization_algorithm))")
-end
diff --git a/src/utility/finalize.jl b/src/utility/finalize.jl
index ed2075e..22b7306 100644
--- a/src/utility/finalize.jl
+++ b/src/utility/finalize.jl
@@ -1,4 +1,4 @@
-const simple_scheme = Union{TRG,GILTTNR,SLoopTNR}
+const simple_scheme = Union{TRG,GILTTNR}
 const turning_scheme = Union{HOTRG,ATRG}
 
 # 1x1 unitcell finalize
diff --git a/test/ising.jl b/test/ising.jl
index 91a31a0..07c75fa 100644
--- a/test/ising.jl
+++ b/test/ising.jl
@@ -85,19 +85,3 @@ end
     relerror = abs((fs - f_onsager) / f_onsager)
     @test relerror < 2e-6
 end
-
-# SLoopTNR
-@testset "SLoopTNR - Ising Model" begin
-    scheme = SLoopTNR(classical_ising(Ising_βc)) # SLoopTNR is not compatible yet with symmetric tensors
-    data = run!(scheme, truncdim(8), maxiter(25))
-
-    lnz = 0
-    for (i, d) in enumerate(data)
-        lnz += log(d) * 2.0^(1 - i)
-    end
-
-    fs = lnz * -1 / Ising_βc
-
-    relerror = abs((fs - f_onsager) / f_onsager)
-    @test relerror < 1e-5
-end