Update README.md

Author: mhjensen

README.md

@@ -35,7 +35,7 @@ themes can be covered:
   - Mathematical notation, Hilbert spaces and operators
   - Description of Quantum Systems and one-qubit systems 
   - States in Hilbert Space, pure and mixed states
-  - Video of lecture at https://youtu.be/YRobDADb63E
+  - Video of lecture to be added  https://youtu.be/
 - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week1
   - _Reading recommendation_: Scherer chapter 2 
 
@@ -45,7 +45,7 @@ themes can be covered:
   - Entanglement, pure and mixed states
 v- Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week2  
   - _Reading recommendation_: Scherer chapter 2 and sections 3.1-3.3. Hundt, Quantum Computing for Programmers, chapter 2.1-2.5. Hundt's text is relevant for the programming part where we build from scratch the ingredients we will need.
-  - Video of lecture at https://youtu.be/T7l-rciM0N0
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesJanuary29.pdf 
 
 ## February 2-6, 2026. Density matrices and Measurements
@@ -60,7 +60,7 @@ v- Teaching material in different formats at https://github.com/CompPhysics/Quan
   - Simple Hamiltonian systems
 - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week4  
   - _Reading recommendation_: For the discussion of one-qubit, two-qubit and other gates, sections 2.6-2.11 and 3.1-3.4 of Hundt's book Quantum Computing for Programmers, contain most of the relevant information.
-  - Video of lecture at https://youtu.be/UcfOVvFyw2E
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesFebruary12.pdf
 
 
@@ -70,21 +70,21 @@ v- Teaching material in different formats at https://github.com/CompPhysics/Quan
   - Simple one-qubit and two-qubit Hamiltonians
 - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week5  
   - _Reading recommendation_: For the discussion of one-qubit, two-qubit and other gates, sections 2.6-2.11, 3.1-3.4 and 6.11.1-.6.11.3 of Hundt's book Quantum Computing for Programmers, contain most of the relevant information.
-- Video of lecture at https://youtu.be/caR8AQM6Rwo
+- Video of lecture to be added  https://youtu.be/
 - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesFebruary19.pdf
 
 ## February 23-27, 2026. Quantum gates and circuits and Quantum Fourier Transform and Hamiltonians
   - Quantum gates and operations and simple quantum algorithms
   - Discussion of the VQE algorithm and discussions of project 1
-  - Video of lecture at https://youtu.be/13JyMS50beg/
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesFebruary26.pdf
 - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week6
 
 ##  March 2-6, 2026. Algorithms for solving quantum mechanical problems.
   - VQE and adaptive VQE, Variational Quantum Eigensolver and discussion of codes
   - Simulations of  of Hamiltonians, focus on the one- and two-qubit Hamiltonians
   - Start discussions of Lipkin model
-  - Video of lecture at https://youtu.be/jGtcEc85VbE
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesMarch5.pdf
 
 - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week7
@@ -93,7 +93,7 @@ v- Teaching material in different formats at https://github.com/CompPhysics/Quan
 ##  March 9-13, 2026. Solving quantum mechanical problems
   - Lipkin model and VQE
   - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week8
-  - Video of lecture at https://youtu.be/hdUnJcJGigw
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesMarch12.pdf
 
 
@@ -105,7 +105,7 @@ v- Teaching material in different formats at https://github.com/CompPhysics/Quan
 ## March 23-27, 2026
   - Quantum Fourier Transforms, algorithm and implementation
   - Quantum phase estimation algorithm
-  - Video of lecture at https://youtu.be/UHqBk1eQT6E
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesMarch26.pdf
   - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week10
 
@@ -123,35 +123,34 @@ v- Teaching material in different formats at https://github.com/CompPhysics/Quan
   - Setting up circuits for QFTs
   - Quantum phase estimation algorithm (QPE)
   - Reading recommendation Hundt, Quantum Computing for Programmers, sections 6.1-6.4 on QFT and QPE.
-  - Video of lecture at https://youtu.be/3myI1qFLVN8
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesApril7.pdf
 
 
 
 ## April 20-24, 2026 Quantum Machine Learning
   - Basics of quantum machine learning and discussion of support vector machines
-  - Video of lecture at https://youtu.be/C36Kg4eaO7A
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesApril23.pdf  
 
 ## April 27-May 1, 2026 Quantum machine learning
   - Classical Support Vector Machines, reminder from last week
   - Classical Kernels and transition to Quantum Kernels
   - Quantum Support Vector Machines
-  - Video of lecture at https://youtu.be/L-c4EBMinwM
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesApril30.pdf
 
 
 ## May 4-8, 2026 Quantum Machine Learning
   - Quantum support vector machines, theory and code examples
   - Quantum neural networks, theory and code examples
-  - Video of lecture, first part at https://youtu.be/L9kvkEW1ZgQ
-  - Video of lecture, second part with discussion of codes at https://youtu.be/73V0LipuHac
+  - Video of lecture to be added at https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesMay7.pdf
 
 ## May 11-15, 2026
   - Quantum neural networks, theory and code examples, contn from last week
   - Quantum and classical Boltzmann machines
-  - Video of lecture at https://youtu.be/icHV-pgq6uQ
+  - Video of lecture to be added  https://youtu.be/
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2026/NotesMay14.pdf