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Unify CPU and GPU tree transformers #584

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a678701
Unify CPU and GPU `UniqueTreeTransformer`
lkdvos Oct 14, 2026
74683e8
Address review comments on the unified `UniqueTreeTransformer`
lkdvos Oct 14, 2026
8e4f94b
Unify CPU and GPU `GenericTreeTransformer`
lkdvos Oct 14, 2026
e5d48ea
Remove `StridedSubblocks` and update the changelog
lkdvos Oct 15, 2026
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4 changes: 4 additions & 0 deletions docs/src/Changelog.md
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Expand Up @@ -30,18 +30,22 @@ When releasing a new version, move the "Unreleased" changes to a new version sec
- Require TensorKitSectors v0.3.10
- `@cached` can be used from other modules, such as package extensions, which then own the cache of the methods they add; these caches are shown with their module in `global_cache_info` after registration in `__init__` (internal)
- The `TreeTransformer`s used in index manipulations are now constructed and cached per storagetype of the destination tensor, which is also a dispatch point for storage-specific transformers with their own cache (internal)
- The CPU and GPU index manipulations share a single `TreeTransformer` structure per fusion style, which stores the subblock locations alongside the recoupling coefficients and is moved to the GPU with `Adapt`; the kernels operate on the flat data of a `TensorMap` directly (internal) ([#578](https://github.com/QuantumKitHub/TensorKit.jl/issues/578))

### Deprecated

### Removed

- `StridedSubblocks`, which is superseded by the subblock locations stored in the `TreeTransformer`s (internal)

### Fixed

- Documentation build failing on TensorKitSectors doctests

### Performance

- Recoupling matrices are stored such that they can leverage BLAS, also for mixed complex tensor with real recoupling coefficients.
- Index manipulations with many large subblocks visit the subblocks in the order of the destination tensor, which is up to ~15% faster.

## [0.17.2](https://github.com/QuantumKitHub/TensorKit.jl/compare/v0.17.1...v0.17.2) - 2026-09-20

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