![]() ![]() shift invert eigen-solving), petsc must be configured with certain options. ![]() The code is hosted on github and if the dependencies are satisfied, a development version can be installed with pip directly from there: 1.1. can be accelerated with slepc4py and its dependencies:Īn MPI implementation ( OpenMPI recommended, the 1.10.x series seems most robust for spawning processes)įor best performance of some routines, (e.g. quimb itself is a pure python package and can now be found on PyPI: However it is recommended to first install the main dependencies using e.g. Plotting tensor networks as colored graphs with weighted edges requires:įast, multi-threaded random number generation no longer (with numpy>1.17) requires randomgen though its bit generators can still be used.įinally, fast and optionally distributed partial eigen-solving, SVD, exponentiation etc. It can be installed via pip from pypi or via conda from conda-forge. ![]() It can be installed with pip or from conda-forge and is a required dependency since various bits of the core quimb module now make use tensor-network functionality behind the scenes.Īutoray allows backend agnostic numeric code for various tensor network operations so that many libraries other than numpy can be used. Opt_einsum efficiently optimizes tensor contraction expressions. In addition, the tensor network library, quimb.tensor, requires: mkl compiled libraries), conda is the recommended distribution with which to install these. Pip install -no-deps -U Required Dependencies #įor ease and performance (i.e. ![]()
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