Semester page for FYS5419 - Spring 2025

Dear all, welcome back to the last four weeks of the semester! We hope you had a great break and thx to everybody for excellent answers to project 1. It was a pleasure to read and grade them. 

Before the Easter break, we concluded our discussion of quantum Fourier transforms and the quantum phase estimation algorithm. These two algorithms can form the basis for the second project, and for those of you who feel tempted, one can also venture into an exploration of Shor's algorithm.

We will use the remaining time to discuss quantum machine learning algorithms, with a focus on quantum support vector machines, neural networks and eventually quantum Boltzmann machines. 

Tomorrow, our lecture will via zoom only, and the plan is to give first an introduction to quantum ML methods and then to dive into classical support vector machines (SVMs), a very popular ML methods, which hopefully allows to make a smooth transition to quantum ML metho...

Dear all, we hope the week has started the best possible way. Since many of you are not at UiO this week, the lecture on Wednesday will uploaded as a recording only. Thus, there is no real time zoom session nor an in-person lecture.

The focus this week is on wrapping up our discussion of Fourier transforms and discuss the quantum phase estimation algorithm. Brief mentions of Shor's algorithm will also be made. After the Easter break, we will focus on quantum machine learning methods and will dedicate the remaining 3-4 weeks on this topic.

For the week, the plans are

Plans for the week of April 7-11, 2025

1. Reminder from last week about Quantum Fourier Transforms

2. Quantum phase estimation algorithm, final derivation and discussions

3. Brief discussion of Shor's algorithm

4. Reading recommendation...

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 ...