update

Author: mhjensen

README.md

@@ -140,7 +140,8 @@ themes can be covered:
   - Basics of quantum machine learning (QML) 
   - Quantum neural networks (QNN) and links to QAOA and other methods
   - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week14, see PDF file and jupyter-notebook. The jupyter-notebook is a companion to the PDF file  
-
+  - Video of lecture at https://youtu.be/0iTYdjBgQcA
+  
 ## May 4-8, 2026 Quantum Machine Learning
   - Quantum neural networks and Quantum Physics Informed Neural Networks (QPINNs)
   - Sovling differential equations with QPINNs

doc/src/week15/Latexnotes/qpinn.tex

@@ -66,7 +66,7 @@
 \subtitle{Solving PDEs and ODEs with Variational Quantum Circuits}
 \author[M.~Hjorth-Jensen]{Morten Hjorth-Jensen}
 \institute[UiO]{Department of Physics \& CCSE\\University of Oslo}
-\date{2026}
+\date{May 6, 2026}
 
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