update week 11

Author: mhjensen

doc/pub/week11/ipynb/ipynb-week11-src.tar.gz

@@ -7,8 +7,8 @@ DATE: April 8, 2026
 ===== Plans for the week of April 6-104, 2026 =====
 
 !bblock 
-* The Quantum Approximate Optimization Algorithm (QAOA).
-* The HHL algorithm
+* Discussions of the QPE algorithm and implementations
+* The HHL algorithm and links with the QPE algorithm
 * Material this week:
   o PDF slides at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf"
   o Jupyter-notebooks at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week11/ipynb"
@@ -17,19 +17,6 @@ DATE: April 8, 2026
 #* "Whiteboard notes":"https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2025/NotesApril2.pdf"
 !eblock
 
-!split
-===== What is the QAOA algorithm? =====
-
-_QAOA_ stands for the Quantum Approximate Optimization Algorithm.
-
-!bblock Each part of the name reflects something essential about the method:
-* Quantum: it runs on a quantum computer, using qubits and quantum gates.
-* Approximate: it typically finds near-optimal solutions rather than exact ones.
-* Optimization: it is designed to solve optimization problems (like MaxCut, scheduling, portfolio selection).
-* Algorithm: it is a well-defined hybrid quantum–classical procedure.
-!eblock
-
-QAOA is a variational quantum algorithm that uses a parameterized quantum circuit to search for good solutions to hard optimization problems.
 
 !split
 ===== What is the HHL algorithm =====
@@ -46,6 +33,23 @@ A \mathbf{x} = \mathbf{b}
 !et
 
 
+!split
+===== What is the QAOA algorithm? =====
+
+The next week, our plan is to discuss the QAOA algorithm.
+_QAOA_ stands for the Quantum Approximate Optimization Algorithm.
+
+!bblock Each part of the name reflects something essential about the method:
+* Quantum: it runs on a quantum computer, using qubits and quantum gates.
+* Approximate: it typically finds near-optimal solutions rather than exact ones.
+* Optimization: it is designed to solve optimization problems (like MaxCut, scheduling, portfolio selection).
+* Algorithm: it is a well-defined hybrid quantum–classical procedure.
+!eblock
+
+QAOA is a variational quantum algorithm that uses a parameterized quantum circuit to search for good solutions to hard optimization problems.
+
+
+
 !split
 ===== Codes and plans for the coming two  weeks (April 13-24) =====