Release v0.2.0
New features since last release
-
Fidelity can now be calculated between two mixed states. (#115)
-
A configurable logger module is added. (#107)
from mrmustard.logger import create_logger logger = create_logger(__name__) logger.warning("Warning message")
Improvements
- The tensorflow and torch backend adhere to
MathInterface
. (#103)
Bug fixes
-
Setting the modes on which detectors and state acts using
modes
kwarg or__getitem__
give consistent results. (#114) -
Lists are used instead of generators for indices in fidelity calculations. (#117)
-
A raised
KeyboardInterrupt
while on a optimization loop now stops the execution of the program. #105
Documentation
- Basic API reference is updated to use the latest Mr Mustard API. (#119)
Contributors
This release contains contributions from (in alphabetical order):