Exploring Differentiable Programming Tensor Networks
Exploring Differentiable Programming Tensor Networks reveals several interesting facts.
- In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
- Talk from HSF/IRIS-HEP Analysis Ecosystem 2 Workshop (https://indico.cern.ch/event/1125222/).
- Maria Schuld, Senior Researcher at Xanadu and the University of KwaZulu-Natal, speaks at QHack 2021.
- Tensor networks
- Tensor networks
In-Depth Information on Differentiable Programming Tensor Networks
https://itsatcuny.org/calendar/quantum-inspired-machine-learning Lei Wang, Institute of Physics, Chinese Academy of Sciences ... Speaker: Hai-Jun Liao (CAS) Slide: https://www.issp.u-tokyo.ac.jp/public/caqmp2019/slides/726S_Liao.pdf CAQMP2019 ... A package about einsum, as well as Behind Every Great Deep Learning Framework Is An Even Greater
ITensorNetworks.jl is a new Julia package for manipulating and optimising
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