QuantumKitHub/TensorOperations.jl: v5.4.0

TensorOperations v5.4.0 Diff since v5.3.1 This minor release contains a number of compat version updates, especially for cuTENSOR and CUDA. Additionally, the automatic differentiation support has been improved to better support second order derivatives, along with a number of performance improvements. Merged pull requests: Bump dependency compat and try using TO on newer CUDA/cuTENSOR (#223) (@kshyatt) Add warning to docs about mixing contraction order specification styles (#229) (@lkdvos) Bump actions/checkout from 5 to 6 (#232) (@dependabot[bot]) Add support for higher-order derivatives (#233) (@yitan1) CompatHelper: bump compat for DynamicPolynomials in [extras] to 0.6, (keep existing compat) (#234) (@github-actions[bot]) Avoid computing derivatives with respect to non-differentiable α, β (#236) (@lkdvos) Some AD cleanup (#238) (@Jutho) Closed issues: document similar_from_indices? (#89) ERROR: MethodError: no method matching Strided.UnsafeStridedView(::Hermitian{Float64,Array{Float64,2}}) (#102) Calling ncon with a view throws MethodError (#119) How can @tensor macro be used in variable length systems? (#125) Add doesn't broadcast (#214) Support for second-order differentiation (grad of grad) (#227) Contraction order with parentheses + ncon style (#228) Bug for CuArray matrix multiplication (#230) Performance issue in Zygote AD for TensorOperations.@tensor on CUDA: costly CPU copies in rrule (#235)