Plans for the week of March 17-21

Dear all, as discussed last week, this week's lecture and exercise session will be dedicated to discussions of project 1 and its finalization.

We will also discuss possible paths for project 2.  As material for the finalization of project 1, we recommend the lecture material from last week,

both the jupyter-notebook at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week8/ipynb (see also this week's notebook at https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week9/ipynb) and the whiteboard notes (with hints and tricks on how to rewrite the Lipkin Hamiltonian) at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2025/NotesMarch12.pdf

Next week we start with a discussion of quantum Fourier transforms and the quantum phase estimation algorithm. These two ingredients can serve as an excellent starting point for the second project. We will discuss possible paths for project 2 during the sessions of March 19.

To summarize, tomorrow we will focus mainly on discussions of project 1. The deadline is Friday March 21.

For project 1 you do not need to write a scientific report, it suffices to answer the various questions. 

Feel free to come with suggestions for project 2. Here are some examples of project alternatives:

1) if you opt for the Quantum Fourier path, a possible application is Shor's algorithm. For this path we recommend that you have some background in number theory

2) Extension of project 2 and explorations of the adaptive VQE with more realistic Hamiltonians

3) Quantum Machine Learning projects

4) and more, feel free to come with suggestions. 

Cheers and all the best,

Morten and Odin