TensorKit v0.15 changes#102
Closed
VictorVanthilt wants to merge 10 commits intomasterfrom
Closed
Conversation
Member
|
A significant omission in TensorKit 0.15.0 (which originated from the underlying MatrixAlgebraKit) is that they forget to return the truncation errors (QuantumKitHub/MatrixAlgebraKit.jl#72), which is required by HOTRG to decide which projector is to be used. We need to wait until that is fixed. |
Member
Author
|
Once QuantumKitHub/TensorKit.jl#312 is merged and released, we can go ahead and start using the newest TensorKit here. |
Member
Author
|
Ok so everything is working except getting the truncation error from |
Member
|
Guess we need to directly jump to 0.16 now |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
TensorKit v0.15 has some breaking changes for the interface of factorizations. Additionally, a truncated hermitian eigenvalue decomposition
eigh_trunchas been added, which will speed up ourHOTRGcode.