TensorKit.jl

TensorKit v0.17.0

Diff since v0.16.5

This release reworks the index manipulation API, adding backend and allocator support while uniformizing the API.

Highlights

• Reworked index manipulation API with backend and allocator support, plus accompanying documentation (https://github.com/QuantumKitHub/TensorKit.jl/pull/416, https://github.com/QuantumKitHub/TensorKit.jl/pull/438)
• BraidingTensor can now have a custom storage type (https://github.com/QuantumKitHub/TensorKit.jl/pull/393)
• Mooncake forward rules for linear algebra functions (https://github.com/QuantumKitHub/TensorKit.jl/pull/434)
• Improved GPU support by bypassing scalar indexing (https://github.com/QuantumKitHub/TensorKit.jl/pull/375), with bumped minimum CUDA/cuTENSOR versions (https://github.com/QuantumKitHub/TensorKit.jl/pull/404)

Full Changelog

See CHANGELOG for the complete list of changes.

Merged pull requests:

• fix: improvements to bypass scalar indexing and improve GPU support (#375) (@kshyatt)
• Rework index manipulation API (#416) (@lkdvos)
• remove_gauge_dependence! overloads (#419) (@lkdvos)
• Fix for SUNRepresentations type parameter change (#426) (@leburgel)
• fix: actually pass testsuite to runtests (#427) (@lkdvos)
• Simplify map(isdual, (co)domain) (#430) (@Yue-Zhengyuan)
• Return a tuple when broadcasting over ProductSpace (#431) (@Yue-Zhengyuan)
• feat: support broadcast and map for HomSpace (#432) (@lkdvos)
• Mooncake forward rules for linalg (#434) (@kshyatt)
• Remove unnecessary _ind_intersect (#435) (@kshyatt)
• Documentation for index-manipulation and contraction API rework (#438) (@lkdvos)
• Correct artin braid image (#441) (@borisdevos)
• Fix foldright cache miss dual flag (#442) (@yitan1)
• Release v0.17.0 (#444) (@lkdvos)

Closed issues:

• Slow but unbounded grouth of memory cost with time? (#235)
• Significantly increased number of allocations in v0.16.4 compared to v0.16.3 (#425)