[Docs] Add links to ITensorMPS.jl in README [no ci]

Author: mtfishman

docs/src/index.md

@@ -29,7 +29,7 @@ Development of ITensor is supported by the Flatiron Institute, a division of the
 
 ## News
 
-- May 9, 2024: A new package ITensorMPS.jl has been released. We plan to move all of the MPS/MPO code in ITensors.jl to ITensorMPS.jl. For now, ITensorMPS.jl just re-exports the MPS/MPO functionality of ITensors.jl (as well as of [ITensorTDVP.jl](https://github.com/ITensor/ITensorTDVP.jl)), such as `dmrg`, `siteinds`, `MPS`, `MPO`, etc. To prepare for the change over to ITensorMPS.jl, please change `using ITensors` to `using ITensors, ITensorMPS` in any code that makes use of MPS/MPO functionality, and if you are using ITensorTDVP.jl change `using ITensorTDVP` to `using ITensorMPS` in your code.
+- May 9, 2024: A new package [ITensorMPS.jl](https://github.com/ITensor/ITensorMPS.jl) has been released. We plan to move all of the MPS/MPO functionality in [ITensors.jl](https://github.com/ITensor/ITensors.jl) to [ITensorMPS.jl](https://github.com/ITensor/ITensorMPS.jl). For now, ITensorMPS.jl just re-exports the MPS/MPO functionality of ITensors.jl (as well as of [ITensorTDVP.jl](https://github.com/ITensor/ITensorTDVP.jl)), such as `dmrg`, `siteinds`, `MPS`, `MPO`, etc. To prepare for the change over to ITensorMPS.jl, please change `using ITensors` to `using ITensors, ITensorMPS` in any code that makes use of MPS/MPO functionality, and if you are using ITensorTDVP.jl change `using ITensorTDVP` to `using ITensorMPS` in your code.
 
 - May 8, 2024: ITensors.jl v0.6 has been released. This version deletes the experimental "combine-contract" contraction backend, which was enabled by `ITensors.enable_combine_contract()`. This feature enabled performing ITensor contractions by first combining indices and then performing contractions as matrix multiplications, which potentially could lead to speedups for certain contractions involving higher-order QN-conserving tensors. However, the speedups weren't consistent with the current implementation, and this feature will be incorporated into the library in a more systematic way when we release our new non-abelian symmetric tensor backend.