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Decentralized learning experiments on Summit

Tutorials and scripts to use Summit in order to scale up your Python deep learning projects. It covers basics of data parallelism and goes over what to add in your code to parallelize your training process.

Preprocessing and reconstruction for the Neutron Imaging Beam Lines

SANS reduction backend - https://sans.ornl.gov - https://drtsans.readthedocs.io

Code to reproduce the results found in "Simulating the Shastry-Sutherland Ising Model using Quantum Annealing." Manuscript can be found at https://arxiv.org/abs/2003.01019.