v0.16.1

CITATION.cff

@@ -8,9 +8,9 @@ authors:
   given-names: "Jutho"
   orcid: "https://orcid.org/0000-0002-0858-291X"
 title: "TensorKit.jl"
-version: "0.16.0"
+version: "0.16.1"
 doi: "10.5281/zenodo.8421339"
-date-released: "2025-12-08"
+date-released: "2026-02-05"
 url: "https://github.com/QuantumKitHub/TensorKit.jl"
 preferred-citation:
   type: article

Project.toml

@@ -1,7 +1,7 @@
 name = "TensorKit"
 uuid = "07d1fe3e-3e46-537d-9eac-e9e13d0d4cec"
 authors = ["Jutho Haegeman, Lukas Devos"]
-version = "0.16.0"
+version = "0.16.1"
 
 [deps]
 LRUCache = "8ac3fa9e-de4c-5943-b1dc-09c6b5f20637"

docs/src/Changelog.md

@@ -18,19 +18,57 @@ When making changes to this project, please update the "Unreleased" section with
 
 When releasing a new version, move the "Unreleased" changes to a new version section with the release date.
 
-## [Unreleased](https://github.com/QuantumKitHub/TensorKit.jl/compare/v0.16.0...HEAD)
+## [Unreleased](https://github.com/QuantumKitHub/TensorKit.jl/compare/v0.16.1...HEAD)
+
+### Added
+
+
+### Changed
+
+
+### Deprecated
+
+
+### Removed
+
+
+### Fixed
+
+
+
+## [0.16.1](https://github.com/QuantumKitHub/TensorKit.jl/releases/tag/v0.16.1) - 2026-02-05
 
 ### Added
 
 - Extended support for selecting storage types in the `TensorMap` constructors ([#327](https://github.com/QuantumKitHub/TensorKit.jl/pull/327))
 - `similar_diagonal` to handle storage types when constructing diagonals ([#330](https://github.com/QuantumKitHub/TensorKit.jl/pull/330))
+- Support for CUDA.jl ([#336](https://github.com/QuantumKitHub/TensorKit.jl/pull/336),[#325](https://github.com/QuantumKitHub/TensorKit.jl/pull/325))
+- Support for Adapt.jl ([#344](https://github.com/QuantumKitHub/TensorKit.jl/pull/344))
+- Preliminary support for Mooncake ([#352](https://github.com/QuantumKitHub/TensorKit.jl/pull/352))
+- Export `TimeReversed` symbol ([#337](https://github.com/QuantumKitHub/TensorKit.jl/pull/337))
 
 ### Fixed
 
 - Issue with using relative tolerances in truncation schemes ([#314](https://github.com/QuantumKitHub/TensorKit.jl/issues/314))
 - Using `scalartype` instead of `eltype` in BLAS contraction ([#326](https://github.com/QuantumKitHub/TensorKit.jl/pull/326))
 - Divide by zero error in `show` for empty tensors ([#329](https://github.com/QuantumKitHub/TensorKit.jl/pull/329))
 - `svd_vals(::DiagonalTensorMap)` correctly outputs `SectorVector` and implementation fix. ([#333](https://github.com/QuantumKitHub/TensorKit.jl/pull/329))
+- Fix handling of real tensors with complex scalartype ([#360](https://github.com/QuantumKitHub/TensorKit.jl/pull/360))
+- Sorted diagonal eigenvalues to ensure consistent ordering ([#350](https://github.com/QuantumKitHub/TensorKit.jl/pull/350))
+- Adding tensors of different types now correctly promotes ([#364](https://github.com/QuantumKitHub/TensorKit.jl/pull/364))
+
+### Changed
+
+- `convert(TensorMap, t)` now retains `storagetype` when converting ([#357](https://github.com/QuantumKitHub/TensorKit.jl/pull/357))
+- `transpose` specialization for `DiagonalTensorMap` for improved correctness/performance ([#335](https://github.com/QuantumKitHub/TensorKit.jl/pull/335))
+- Uniformized `CartesianSpace` and `ComplexSpace` constructors ([#334](https://github.com/QuantumKitHub/TensorKit.jl/pull/334))
+
+### Performance
+
+- GPU-friendly truncation implementations ([#349](https://github.com/QuantumKitHub/TensorKit.jl/pull/349))
+- `norm` performance optimizations ([#351](https://github.com/QuantumKitHub/TensorKit.jl/pull/351))
+- TensorOperations ChainRules performance improvements ([#343](https://github.com/QuantumKitHub/TensorKit.jl/pull/343))
+- Type-stability and small test fixes (various commits)
 
 ## [0.16.0](https://github.com/QuantumKitHub/TensorKit.jl/releases/tag/v0.16.0) - 2025-12-08