Plans for the week of April 21-25

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 methods.

Next week we will then discuss quantum SVMs. The plan this week is to 

Plans for the week of April 21-25

Quantum Machine Learning (QML).

Introduction to QML

Support Vector Machines (SVM, classical machine learning approach), main part of the lecture of April 23

Quantum Support Vector Machine Learning (QSVM)

Reading recommendations.

For classical Support Vector Machines, see lecture notes by Morten Hjorth-Jensen at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter5.html

Claudio Conti, Quantum Machine Learning (Springer), sections 1.5-1.12, see https://link.springer.com/book/10.1007/978-3-031-44226-1. With an IP-number from the university of Oslo, you can download this book for free. The material on quantum support vector machines will be discussed next week.

The jupyter-notebook is at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week13/ipynb/week13.ipynb

The plans for the remaining lectures is as follows

April 23: Introducing QML concepts and classical SVMs

April 30: Quantum SVMs (QSVMs) and possibly start of quantum neural networks (NNs), and reminder of classical NNs, project work

May 7: quantum neural networks (QNNs) and possible start of discussion of Boltzmann machines (BMs) and quantum BMs. project work

May 14: Last lecture, Quantum BMs and summary of course. Project work

May 21: project work only 

Best wishes to you all,

Morten and Odin

p.s. Note that the video on QFTs will be remade and posted asap. I was not happy with the quality.