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License: MIT License
Quantum computing simulator with a tensorflow-like API
License: MIT License
For algorithms like Grover's, the oracle operator can be defined as:
Uf |x,q> = |x,(q + f(x)) % 2>
This requires the value of q to be available to the function supplied to F (like lambda x,q: (q+f(x))%2
)
Should be able to split state across large number of computers.
See parallelism
branch for development.
Currently have several in the examples directory but can always use more.
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.
This would make QIP into a strong keras style api with a larger variety of local backends.
Right now the use of environment variables to enable CYTHON and OPENMP support is a bit burdensome, streamlining this would be a nice addition.
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 Particularly concerned about type-annotation/doc mismatches but out-of-date api calls may also be present.
Looking for ideas for streamlines notebook integration.
Examples:
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