Posts
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qgrad: An autodifferentiation framework for quantum physics routines
Getting started with qgrad -
Learning unitary matrices
Introduction to unitary learning and implementing it in qgrad -
Differentiating exponentials of Hamiltonians
JAX's inability to differentiate exponentials of quantum hamiltonians and ways around it -
Halfway through Google Summer of Code
Google Summer of Code 2020 updates -
Interfacing JAX with QuTiP
Issues with interfacing JAX with QuTiP and alternate routes to make QuTiP autodifferentiable -
Introduction to Autodifferentiation in Machine Learning
The theory of autodifferentiation and its applications in machine learning -
First Blog Post: GSoC 2020
About the upcoming GSoC project