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resides in a single array of type `<:DenseVector`. While this does not lead to breaking
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changes in the interface, it does mean that `TensorMap` objects from TensorKit.jl
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v0.12.7 or earlier that were saved to disk using e.g. JLD2.jl, cannot simply be read back
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in using the new version of TensorKit.jl. We provide a script [below](https://github.com/Jutho/TensorKit.jl?tab=readme-ov-file#transferring-tensormap-data-from-older-versions-to-v013)
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in using the new version of TensorKit.jl. We provide a script [below](https://github.com/QuantumKitHub/TensorKit.jl?tab=readme-ov-file#transferring-tensormap-data-from-older-versions-to-v013)
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to export data in a format that can be read back in by TensorKit.jl v0.13.
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Major non-breaking changes include:
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* Support for [TensorOperations.jl v5](https://github.com/Jutho/TensorOperations.jl), and
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* Support for [TensorOperations.jl v5](https://github.com/QuantumKitHub/TensorOperations.jl), and
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with this the new backend and allocator support within the `@tensor` macro.
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* The part of TensorKit.jl that defines the `Sector` type hierarchy and its corresponding
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interface, as well as the implementation of all of the standard symmetries, has been
@@ -149,8 +149,8 @@ Additionally, for libraries that implement tensor network algorithms on top of
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TensorKit.jl, check out [MPSKit.jl](https://github.com/QuantumKitHub/MPSKit.jl),
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[MERAKit.jl](https://github.com/mhauru/MERAKit.jl) and [PEPSKit.jl](https://github.com/QuantumKitHub/PEPSKit.jl).
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Check out the [tutorial](https://jutho.github.io/TensorKit.jl/stable/man/tutorial/) and the
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full [documentation](https://jutho.github.io/TensorKit.jl/stable).
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Check out the [tutorial](https://QuantumKitHub.github.io/TensorKit.jl/stable/man/tutorial/) and the
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full [documentation](https://QuantumKitHub.github.io/TensorKit.jl/stable).
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## Installation
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@@ -180,7 +180,7 @@ platforms with a 64-bit architecture.
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Contributions are very welcome, as are feature requests and suggestions. Please open an [issue][issues-url] if you encounter any problems.
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