Plans for the week of May 5-9

Dear all, welcome back! The end of the semester is approaching and our last sessions are devoted to quantum machine learning.

This week we will try to finalize our discussion of quantum support vector machines, with code examples using PennyLane (I am almost giving up Qiskit...). The code examples are tailored to classification problems, with a classical one such as the Iris data and a vanilla one on credit score (pseudo financial data). The last data set is used for quantum neural networks as well. If we get time, we will dive into quantum neural networks as well.

This topic continues next week as well (lecture May 14). We may start with Boltzmann machines on May 14 if we get time. Else, our last session is May 21, we will wrap up and discuss the project as well.

The lectures will always be recorded and uploaded afterwards for those who cannot attend in person. 

The plan this week is thus

Plan for the week of May 5-9

1. Discussion of Quantum Support Vector Machines and their implementations

2. Variational Quantum Circuits (VQCs)

3. Quantum neural networks (QNNs)

• Training QNNs and Loss Landscapes

• Implementing QNNs with PennyLane

Reading recommendations

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

2. Claudio Conti, Quantum Machine Learning (Springer), sections 1.5-1.12 and chapter 2, see https://link.springer.com/book/10.1007/978-3-031-44226-1.

3. See also Maria Schuld's article at https://arxiv.org/abs/2101.11020.

4. For coding, we included examples using PennyLane at https://pennylane.ai/ and Qiskit, see https://qiskit-community.github.io/qiskit-machine-learning/

The jupyter-notebook is at https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week15/ipynb/week15.ipynb

best wishes to you all,

Morten and Odin

p.s.1:  I plan to upload revised videos on QFT (the two lectures before the Easter break), with revised notes and codes as well  by the end of tomorrow. Sorry for the delay.

p.s.2:  For project 2, I made the VQE part (exercise 2e) optional in case you want to dive into Shor's algorithm.