Skip to content

Update Changelog.md #292

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
lkdvos merged 4 commits into from
Oct 3, 2025
Merged

Update Changelog.md #292

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
a6268f0
Initial plan
Copilot Oct 3, 2025
cefe34c
Add v0.15 changelog entry for MatrixAlgebraKit backend
Copilot Oct 3, 2025
63ed6e4
Revise Changelog for recent updates and removals
lkdvos Oct 3, 2025
683669e
Merge branch 'main' into copilot/fix-c0afe6c6-7ffe-40f7-91ac-6849a998…
lkdvos Oct 3, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
26 changes: 25 additions & 1 deletion Changelog.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,30 @@ Features that are planned to be implemented before the release of v1.0.0, in no

# Changelog

## v0.15

### MatrixAlgebraKit backend for factorizations

This version introduces [MatrixAlgebraKit](https://github.com/QuantumKitHub/MatrixAlgebraKit.jl) as the new backend for tensor factorizations, replacing the previous internal `TensorKit.MatrixAlgebra` implementation. See [#230](https://github.com/QuantumKitHub/TensorKit.jl/pull/230) for details.

#### Added
- `foreachblock(f, t::AbstractTensorMap...)` - uniform interface to iterate through tensor blocks (prepares for future multithreading support)
- `eig_trunc` and `eigh_trunc` - truncated eigenvalue decompositions
- `ominus` (and unicode `⊖`) - compute orthogonal complement of a space
- Backend selection for factorizations - swap algorithms or implementations

#### Changed
- Factorization functions `leftorth`, `rightorth`, `tsvd`, `eig`, `eigh` deprecated in favor of MatrixAlgebraKit variants (`left_orth`, `right_orth`, `tsvd`, `eig`, `eigh`)
- Truncation strategies now use MatrixAlgebraKit names: `truncrank` (replaces `truncdim`), `truncbelow` (replaces `trunctol`)
- `left_orth` and `right_orth` now always output tensors with a single connecting space
- `left_orth` and `right_orth` now always have connecting space with `isdual=false`
- code formatter is now [Runic.jl](https://github.com/fredrikekre/Runic.jl)

#### Removed
- `OrthogonalFactorization` structs (constructors deprecated to return equivalent MatrixAlgebraKit algorithm structs)
- Direct permute-and-factorize operations (incompatible with `permute` vs `braid` distinction)
- `Polar` decomposition behavior for `left_orth`/`right_orth` (use `left_polar`/`right_polar` instead for `isposdef` R factors)

## v0.14

### Use `DiagonalTensorMap` for singular values and eigenvalues
Expand Down Expand Up @@ -95,4 +119,4 @@ where all blocks and subblocks are various views into this object. This entails
simplifications for the outwards-facing interface, as now the `TensorMap` type requires less
parameters, and the fusion-tree structure is more clearly considered as an implementation
detail that can be left hidden to the user. Various other improvements and documentation
work was also carried out.
work was also carried out.