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qip's Issues

Make a distributed backend

Should be able to split state across large number of computers.

See parallelism branch for development.

Cython must be installed before installing QIP with pip

In order to get the cythonize used in setup.py command we need Cython to be installed. This means the process isn't as streamlined as pip install qip.

There may be a way to do something like what was done for numpy to get around this. This seems to be a common problem and solutions are often very difficult to understand or are very hacky and hard to reimplement.

Streamline installation process

Right now the use of environment variables to enable CYTHON and OPENMP support is a bit burdensome, streamlining this would be a nice addition.

Double check and update documentation

There have been some growing pains and docs may have been missed. Particularly concerned about type-annotation/doc mismatches but out-of-date api calls may also be present.

Jupyter notebook integration

Looking for ideas for streamlines notebook integration.
Examples:

  • Add an html/latex representation for qubit objects when displayed to give more context than is really useful in the repr calls.
  • Pipeline widget showing progress bar.
  • ...

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