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Summary of changes

New features

• Added two new sampling functions in hafnian.sample, allowing efficient sampling from classical Gaussian states:

  • hafnian_sample_classical_state
  • torontonian_sample_classical_state

• Added functions to calculate the probability amplitudes directly for pure states:

  • pure_state_amplitude
  • state_vector

• Added utility functions to check the validity of covariance matrices:

  • is_valid_cov
  • is_pure_cov
  • is_classical_cov

Improvements

• All functions in the quantum package now take as arguments xp-covariance matrices and vectors of means for consistency.

Contributors

This release contains contributions from (in alphabetical order):

Nicolas Quesada

Summary of changes

New features

• Added a new sampling submodule hafnian.sample, allowing sampling from the underlying hafnian/Torontonian distribution of graphs/Gaussian states

• Documentation overhaul: now contains some of the best and most up-to-date information about hafnians, loop hafnians, and Torontonians

• C++ library has been significantly improved, tested, and refactored

Improvements

• Ported the hafnian_approx.F90 Fortran file to C++

• The Torontonian function is now parallelized via OpenMP

• Tests and the C++ header library have been refactored

• Addition of new C++ tests using Googletest

• C++ library is now documented via Doxygen; this is integrated directly into Sphinx

Contributors

This release contains contributions from (in alphabetical order):

Brajesh Gupt, Josh Izaac, Nicolas Quesada

Bug fixes

• Solve type conflict preventing the pip wheel to build correctly (see #4).

Contributors

@emaballarin

New features

• Odd-dimensioned matrices no longer raise an error, as the loop hafnian is well defined for matrices with odd dimensions. The non-loop hafnian will now return 0 for matrices with odd-dimensions.