Semester page for FYS5419 - Spring 2025

Dear all, we hope this week has started the best possible way. We continue our discussions of quantum Fourier transforms (QFTs) from last week since these are relevant for many of you in connection with project 2. Thereafter we will discuss the quantum phase estimation (QPE) algorithm, which serves as input to both Shor's algorithm and the estimation of eigenenergies (which can be compared with those form project 1). Alternatively, for those who are interested, one may continue with Shor's algorithm as a path for project 2.

These topics, QFTs and the QPE will also be discussed next week.

After the Easter break we will focus mainly on quantum machine learning algorithms.  The plans for this week are thus:

Plans for the week of March 31-April 4, 2025

1. Discrete Fourier transforms (DFTs, reminder from last week) ) and the fast Fourier Transform (FFT) (see ...

Dear all, welcome back to a new week with FYS5419. We've hope you've had a great weekend.

This week we will start with a discussion of quantum Fourier transforms (QFTs) with and an emphasis on their mathematical properties.

We will continue with this topic next week (with discussions of codes and more) as well as the quantum phase estimation algorithm (QPE), which plays an important role in other algorithms, like Shor's algo and the evaluation of the energy of a system.  After our discussions of QFTs and related topics, we will end the semester with a discussion of quantum machine learning algorithms.  This week we will also discuss possible paths for project 2.

Thus, this week we aim at 

Plans for the week of March 24-28, 2025

1. Start discussion of discrete Fourier transforms and Quantum Fourier transforms, basic mathematical expressions...

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 ...