diff --git a/Project.toml b/Project.toml
index 0cc8b5a..f2ba390 100644
--- a/Project.toml
+++ b/Project.toml
@@ -7,32 +7,31 @@ version = "0.6.0"
 EllipsisNotation = "da5c29d0-fa7d-589e-88eb-ea29b0a81949"
 ITensors = "9136182c-28ba-11e9-034c-db9fb085ebd5"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-QuanticsTCI = "b11687fd-3a1c-4c41-97d0-998ab401d50e"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 SparseIR = "4fe2279e-80f0-4adb-8463-ee114ff56b7d"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 T4AITensorCompat = "864b39ca-388c-4f43-a593-a1076cf4b253"
 T4APartitionedTT = "7ada5264-53d5-494a-9572-4199565888e0"
-TensorCrossInterpolation = "b261b2ec-6378-4871-b32e-9173bb050604"
+T4AQuanticsTCI = "ef09ec98-57a2-49a0-bf0b-86b55a3d9051"
+T4ATensorCI = "14428447-6903-48c7-83df-f2cb08af9918"
 
 [compat]
 EllipsisNotation = "1"
-QuanticsTCI = "0.7"
 SparseIR = "^0.96, 0.97, 1"
 StaticArrays = "1"
 T4APartitionedTT = "0.8"
+T4AQuanticsTCI = "0.9"
+T4ATensorCI = "0.12"
 julia = "1"
 
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 QuanticsGrids = "634c7f73-3e90-4749-a1bd-001b8efc642d"
-QuanticsTCI = "b11687fd-3a1c-4c41-97d0-998ab401d50e"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 ReTestItems = "817f1d60-ba6b-4fd5-9520-3cf149f6a823"
 SparseIR = "4fe2279e-80f0-4adb-8463-ee114ff56b7d"
 T4APartitionedTT = "7ada5264-53d5-494a-9572-4199565888e0"
-TensorCrossInterpolation = "b261b2ec-6378-4871-b32e-9173bb050604"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Test", "Random", "ReTestItems", "Aqua", "T4APartitionedTT", "TensorCrossInterpolation", "QuanticsTCI", "QuanticsGrids", "SparseIR"]
+test = ["Test", "Random", "ReTestItems", "Aqua", "T4APartitionedTT", "QuanticsGrids", "SparseIR"]
diff --git a/src/T4AQuantics.jl b/src/T4AQuantics.jl
index 361d851..cc3fff2 100644
--- a/src/T4AQuantics.jl
+++ b/src/T4AQuantics.jl
@@ -13,8 +13,8 @@ import LinearAlgebra: I, inv
 using StaticArrays
 import SparseArrays: sparse
 
-import QuanticsTCI
-import TensorCrossInterpolation as TCI
+import T4AQuanticsTCI
+import T4ATensorCI as TCI
 import T4APartitionedTT
 using T4AITensorCompat: contract, Algorithm, apply, product
 
diff --git a/src/fouriertransform.jl b/src/fouriertransform.jl
index 661ed6f..de856ab 100644
--- a/src/fouriertransform.jl
+++ b/src/fouriertransform.jl
@@ -28,8 +28,8 @@ function _qft(sites; cutoff::Float64=1e-25, sign::Int=1)
     R > 1 || error("The number of bits must be greater than 1")
 
     sites_MPO = collect.(zip(prime.(sites), sites))
-    fouriertt = QuanticsTCI.quanticsfouriermpo(R; sign=Float64(sign), normalize=true)
-    # Convert TCI.TensorTrain to T4AITensorCompat.TensorTrain using new constructor
+    fouriertt = T4AQuanticsTCI.quanticsfouriermpo(R; sign=Float64(sign), normalize=true)
+    # Convert T4ATensorCI.TensorTrain to T4AITensorCompat.TensorTrain using new constructor
     tt_cores = TCI.sitetensors(fouriertt)
     M = TensorTrain(tt_cores; sites=sites_MPO)
 
diff --git a/test/imaginarytime_tests.jl b/test/imaginarytime_tests.jl
index b6980c3..d4a54d2 100644
--- a/test/imaginarytime_tests.jl
+++ b/test/imaginarytime_tests.jl
@@ -7,15 +7,15 @@
     import SparseIR: Fermionic, Bosonic, FermionicFreq, valueim
 
     import T4AITensorCompat: TensorTrain
-    # Conditionally import QuanticsGrids and QuanticsTCI
+    # Conditionally import QuanticsGrids and T4AQuanticsTCI
     try
         import QuanticsGrids as QG
-        import QuanticsTCI: quanticscrossinterpolate
+        import T4AQuanticsTCI: quanticscrossinterpolate
         has_qg = true
     catch
         has_qg = false
     end
-    import TensorCrossInterpolation as TCI
+    import T4ATensorCI as TCI
 
     function _test_data_imaginarytime(nbit, β)
         ω = 0.5
@@ -94,12 +94,12 @@
 
 
     @testset "ImaginaryTimeFT.to_tau with large R" begin
-        # Skip this test if QuanticsGrids or QuanticsTCI is not available
+        # Skip this test if QuanticsGrids or T4AQuanticsTCI is not available
         try
             import QuanticsGrids as QG
-            import QuanticsTCI: quanticscrossinterpolate
+            import T4AQuanticsTCI: quanticscrossinterpolate
         catch
-            @test_skip "QuanticsGrids or QuanticsTCI not available"
+            @test_skip "QuanticsGrids or T4AQuanticsTCI not available"
             return
         end
         
@@ -136,7 +136,7 @@
             ComplexF64, inv_iwn_tci, ngrid; tolerance=tol, maxbonddim=maxdim_TCI)
 
         inv_iwn_tt = TCI.TensorTrain(qtci2.tci)
-        # Convert TensorCrossInterpolation.TensorTrain to T4AITensorCompat.TensorTrain
+        # Convert T4ATensorCI.TensorTrain to T4AITensorCompat.TensorTrain
         # using new constructor with core arrays
         tt_cores = TCI.sitetensors(inv_iwn_tt)
         iwmps = TensorTrain(tt_cores; sites=sitesiω)