Use true automatic differentiation on quantum Fisher information notebook #51
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ytdHuang
approved these changes
Jul 30, 2025
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Checklist
Thank you for contributing to Tutorials for Quantum Toolbox in
Julia! Please make sure you have finished the following tasks before opening the PR.datewere modified for new or updated tutorials.Version Informationsection was added at the end and displays the output ofversioninfo().make render.Request for a review after you have completed all the tasks. If you have not finished them all, you can also open a Draft Pull Request to let the others know this on-going work.
Description
The previous notebook was using finite differences to compute the gradient of the density matrix. With the new version of QuantumToolbox.jl, we can now do forward automatic differentiation using ForwardDiff.jl.
The support for Enzyme.jl is ongoing.