Drop Julia v1.9 (qutip#218)

* drop `Julia v1.9`

* fix benchmark

* fix links for ODE solver in docstrings

.github/workflows/CI.yml

@@ -38,8 +38,8 @@ jobs:
       matrix:
         # for core tests (latest and oldest supported versions)
         version:
-          - '1.7'  # oldest
-          - '1'    # latest
+          - '1.10' # oldest
+        #  - '1'    # latest
         os:
           - ubuntu-latest
           - windows-latest
@@ -49,25 +49,21 @@ jobs:
           - Core
 
         include:
-          # for core tests on macOS
-          - version: '1.7'      # oldest (julia v1.7 does not support M-series chip)
-            os: 'macOS-13'      # Intel chip
+          # for core tests on macOS (M-series chip)
+          - version: '1.10'    # oldest
+            os: 'macOS-latest'
             arch: 'x64'
             group: 'Core'
-          - version: '1'        # latest
-            os: 'macOS-latest'  # M-series chip
-            arch: 'arm64'
-            group: 'Core'
+          # - version: '1'       # latest
+          #   os: 'macOS-latest'
+          #   arch: 'arm64'
+          #   group: 'Core'
 
           # for core tests (intermediate versions)
-          - version: '1.8'
-            os: 'ubuntu-latest'
-            arch: 'x64'
-            group: 'Core'
-          - version: '1.9'
-            os: 'ubuntu-latest'
-            arch: 'x64'
-            group: 'Core'
+          # - version: '1.x'
+          #   os: 'ubuntu-latest'
+          #   arch: 'x64'
+          #   group: 'Core'
 
           # for code quality tests
           - version: '1'

Project.toml

@@ -5,17 +5,21 @@ version = "0.13.0"
 
 [deps]
 ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
+DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
 DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
 FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
 Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
 IncompleteLU = "40713840-3770-5561-ab4c-a76e7d0d7895"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 LinearMaps = "7a12625a-238d-50fd-b39a-03d52299707e"
 LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
-OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
+OrdinaryDiffEqCore = "bbf590c4-e513-4bbe-9b18-05decba2e5d8"
+OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
+SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
+SciMLOperators = "c0aeaf25-5076-4817-a8d5-81caf7dfa961"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 StaticArraysCore = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
@@ -29,22 +33,26 @@ QuantumToolboxCUDAExt = "CUDA"
 [compat]
 ArrayInterface = "6, 7"
 CUDA = "5"
+DiffEqBase = "6"
 DiffEqCallbacks = "2 - 3.1, 3.8"
 FFTW = "1.5"
 Graphs = "1.7"
 IncompleteLU = "0.2"
 LinearAlgebra = "<0.0.1, 1"
 LinearMaps = "3"
 LinearSolve = "2"
-OrdinaryDiffEq = "6"
+OrdinaryDiffEqCore = "1"
+OrdinaryDiffEqTsit5 = "1"
 Pkg = "<0.0.1, 1"
 Random = "<0.0.1, 1"
 Reexport = "1"
+SciMLBase = "2"
+SciMLOperators = "0.3"
 SparseArrays = "<0.0.1, 1"
 SpecialFunctions = "2"
 StaticArraysCore = "1"
 Test = "<0.0.1, 1"
-julia = "1.7"
+julia = "1.10"
 
 [extras]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"

README.md

@@ -68,7 +68,7 @@ QuantumToolbox.jl is equipped with a robust set of features:
 
 ## Installation
 
-> **_NOTE:_**  `QuantumToolbox.jl` requires `Julia 1.7+`.
+> **_NOTE:_**  `QuantumToolbox.jl` requires `Julia 1.10+`.
 
 To install `QuantumToolbox.jl`, run the following commands inside Julia's interactive session (also known as REPL):
 ```julia
@@ -77,7 +77,7 @@ Pkg.add("QuantumToolbox")
 ```
 Alternatively, this can also be done in Julia's [Pkg REPL](https://julialang.github.io/Pkg.jl/v1/getting-started/) by pressing the key `]` in the REPL to use the package mode, and then type the following command:
 ```julia-repl
-(1.7) pkg> add QuantumToolbox
+(1.10) pkg> add QuantumToolbox
 ```
 More information about `Julia`'s package manager can be found at [`Pkg.jl`](https://julialang.github.io/Pkg.jl/v1/).
 

benchmarks/Project.toml

@@ -1,3 +1,5 @@
 [deps]
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
+OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 QuantumToolbox = "6c2fb7c5-b903-41d2-bc5e-5a7c320b9fab"

benchmarks/runbenchmarks.jl

@@ -1,5 +1,7 @@
 using BenchmarkTools
 using QuantumToolbox
+using OrdinaryDiffEq
+using LinearSolve
 
 BLAS.set_num_threads(1)
 

docs/src/index.md

@@ -21,7 +21,7 @@ QuantumToolbox.jl is equipped with a robust set of features:
 ## [Installation](@id doc:Installation)
 
 !!! note "Requirements"
-    `QuantumToolbox.jl` requires `Julia 1.7+`.
+    `QuantumToolbox.jl` requires `Julia 1.10+`.
 
 To install `QuantumToolbox.jl`, run the following commands inside Julia's interactive session (also known as REPL):
 ```julia
@@ -30,7 +30,7 @@ Pkg.add("QuantumToolbox")
 ```
 Alternatively, this can also be done in Julia's [Pkg REPL](https://julialang.github.io/Pkg.jl/v1/getting-started/) by pressing the key `]` in the REPL to use the package mode, and then type the following command:
 ```julia-REPL
-(1.7) pkg> add QuantumToolbox
+(1.10) pkg> add QuantumToolbox
 ```
 More information about `Julia`'s package manager can be found at [`Pkg.jl`](https://julialang.github.io/Pkg.jl/v1/).
 

docs/src/tutorials/lowrank.md

@@ -130,7 +130,7 @@ Define the options for the low-rank evolution
 
 ```@example lowrank
 opt =
-    LRMesolveOptions(alg = Tsit5(), err_max = 1e-3, p0 = 0.0, atol_inv = 1e-6, adj_condition = "variational", Δt = 0.0);
+    LRMesolveOptions(err_max = 1e-3, p0 = 0.0, atol_inv = 1e-6, adj_condition = "variational", Δt = 0.0);
 
 @time lrsol = lr_mesolve(H, z, B, tl, c_ops; e_ops = e_ops, f_ops = (f_purity, f_entropy, f_trace), opt = opt);
 ```

src/QuantumToolbox.jl

@@ -1,38 +1,49 @@
 module QuantumToolbox
 
 # Re-export:
-#   1. basic functions in LinearAlgebra and SparseArrays
-#   2. the solvers in ODE and LinearSolve
+#   1. StaticArraysCore.SVector for the type of dims
+#   2. basic functions in LinearAlgebra and SparseArrays
 import Reexport: @reexport
+@reexport import StaticArraysCore: SVector
 @reexport using LinearAlgebra
 @reexport using SparseArrays
-@reexport using OrdinaryDiffEq
-@reexport using LinearSolve
 
 # other functions in LinearAlgebra
 import LinearAlgebra: BlasReal, BlasInt, BlasFloat, BlasComplex, checksquare
 import LinearAlgebra.BLAS: @blasfunc
-if VERSION < v"1.10"
-    import LinearAlgebra: chkstride1
-    import LinearAlgebra.BLAS: libblastrampoline
-    import LinearAlgebra.LAPACK: chklapackerror
-    import Base: require_one_based_indexing
-else
-    import LinearAlgebra.LAPACK: hseqr!
-end
+import LinearAlgebra.LAPACK: hseqr!
+
+# SciML packages (for OrdinaryDiffEq and LinearSolve)
+import SciMLBase:
+    solve,
+    solve!,
+    init,
+    reinit!,
+    remake,
+    u_modified!,
+    ODEProblem,
+    EnsembleProblem,
+    EnsembleThreads,
+    FullSpecialize,
+    CallbackSet,
+    ContinuousCallback,
+    DiscreteCallback
+import SciMLOperators: MatrixOperator
+import LinearSolve: LinearSolve, LinearProblem, SciMLLinearSolveAlgorithm, KrylovJL_MINRES, KrylovJL_GMRES
+import DiffEqBase: get_tstops
+import DiffEqCallbacks: PeriodicCallback, PresetTimeCallback, TerminateSteadyState
+import OrdinaryDiffEqCore: OrdinaryDiffEqCore, OrdinaryDiffEqAlgorithm
+import OrdinaryDiffEqTsit5: Tsit5
 
 # other dependencies (in alphabetical order)
 import ArrayInterface: allowed_getindex, allowed_setindex!
-import DiffEqCallbacks: DiscreteCallback, PeriodicCallback, PresetTimeCallback, TerminateSteadyState
 import FFTW: fft, fftshift
 import Graphs: connected_components, DiGraph
 import IncompleteLU: ilu
 import LinearMaps: LinearMap
-import OrdinaryDiffEq: OrdinaryDiffEqAlgorithm
 import Pkg
 import Random
 import SpecialFunctions: loggamma
-@reexport import StaticArraysCore: SVector
 import StaticArraysCore: MVector
 
 # Setting the number of threads to 1 allows