Plans for the week of April 28 - May 2

Dear all, welcome back! This week we continue our discussion of quantum machine learning. Last week we introduced support vector machines and will now venture (after a short repetition from last week) into quantum support vector machines.  After our discussion of quantum support vector machines, we will venture into (May 7) into quantum neural networks and finally quantum boltzmann machines (May 14). 

The plans this week are thus

Plans for the week of April 28-May 2

1. Classical Support Vector Machines, reminder from last week

2. Classical Kernels and transition to Quantum Kernels

3. Quantum Support Vector Machines

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/week14/ipynb/week14.ipynb (more notes will be added via whiteboard notes).

Best wishes to you all,

Morten and Odin