update

Author: mhjensen

README.md

@@ -94,13 +94,16 @@ themes can be covered:
   - Whiteboard notes at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2025/NotesMarch12.pdf
 
 
-## March 17-21, 2025. Second quantization and Hamiltonians for quantum computing, discussion of the Lipkin model
-  - Quantum Fourier Transforms, algorithm and implementation
-  - Quantum phase estimation algorithm
+## March 17-21, 2025. Discussions of project 1 and work on the VQE
+  - Lipkin model and VQE
+  - Discussion of project 1 and work on finalizing project
 - Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week9
 
 ## March 24-28, 2025
-  - TBA
+  - Quantum Fourier Transforms, algorithm and implementation
+  - Quantum phase estimation algorithm
+- Teaching material in different formats at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week10
+
 
 
 ## March 31-April 4, 2025

doc/Programs/Sensing/twoq.py

@@ -37,14 +37,7 @@
 print("Measurement results:")
 for state, count in counts.items():
     print(f"{state}: {count}")
-
 """
-Here's a breakdown of the code:
-
-1. We import the necessary libraries from Qiskit, a popular open-source software development kit for working with quantum computers.
-2. We define the number of qubits to be 2.
-3. We create a quantum circuit with the specified number of qubits.
-4. We apply a Hadamard gate to the first qubit to create a superposition.
 5. We apply a CNOT gate to entangle the two qubits.
 6. We apply a time-dependent field to the system by rotating the second qubit around the Z-axis with a field strength that varies sinusoidally over time.
 7. We measure the qubits and execute the circuit on a simulator.