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python-thewalrus/python-thewalrus.changes

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Mon Sep 21 15:08:09 UTC 2020 - Matej Cepl <mcepl@suse.com>
- Standard OpenSUSE CFLAGS break the build
(gh#XanaduAI/thewalrus#198).
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Thu Sep 17 19:35:47 UTC 2020 - andy great <andythe_great@pm.me>
- Fix spec file typo.
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Fri Sep 11 20:38:18 UTC 2020 - andy great <andythe_great@pm.me>
- Update to version 0.13.0.
* Adds a new algorithm for hafnians of matrices with low rank.
* Adds a function to calculate the fidelity between two Gaussian
quantum states.
* Adds a new module, thewalrus.random, to generate random
unitary, symplectic and covariance matrices.
* Adds new functions normal_ordered_expectation,
photon_number_expectation and photon_number_squared_expectation
in thewalrus.quantum to calculate expectation values of
products of normal ordered expressions and number operators and
their squares.
* Adds the function hafnian_sample_graph_rank_one in
thewalrus.samples to sample from rank-one adjacency matrices.
* Adds parallelization support using Dask for
quantum.probabilities.
* Removes support for Python 3.5.
* Changes in the interface and speed ups in the functions in the
thewalrus.fock_gradients module.
* Improves documentation of the multidimensional Hermite
polynomials.
* Improves speed of fock_tensor when the symplectic matrix passed
is also orthogonal.
* Fixes Numba decorated functions not rendering properly in the
documentation.
* Solves the issue with quantum and samples not being rendered in
the documentation or the TOC.
* Fix bug where quantum and samples were not showing up in the
documentation.
* The functions in thewalrus.fock_gradients are now separated
into functions for the gradients and the gates. Moreover, they
are renamed, for instance Dgate becomes displacement and its
gradient is now grad_displacement.
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Wed Aug 5 16:12:15 UTC 2020 - andy great <andythe_great@pm.me>
- Use pytest for %check
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Sun Aug 2 10:05:38 UTC 2020 - andy great <andythe_great@pm.me>
- Initial package release.