- September 20, 2018: RBM for n-body problems, Kien Do
- September 13, 2018: Intro to quantum mechanics, Alistair Shilton
- June 29, 2018: Quantum Hopfield networks, Hung Le
- June 15, 2018: Intro to QML and quantum clustering, Truyen Tran
Reading Group Archive
Quantum machine learning reading group.
An archived schedule and reference list for the quantum machine learning reading group, covering foundations, tensor networks, many-body learning, and adjacent topics.
Historic context
- Friday reading group series
- Topics ranged from quantum memory to quantum reinforcement learning
- Includes dated sessions from June to September 2018
- Quantum memory and quantum programming languages
- Quantum learning theory and graphical models
- Phase transitions, sampling, Bayesian methods, and Hilbert space learning
- Quantum cognition, Bell inequalities, and quantum generative models
Reference Sets
Starter papers from the archive.
Quantum neural networks
- Carleo and Troyer, Science 2017
- Gao and Duan, Nature Communications 2017
- Cai and Liu, Physical Review B 2018
Tensor networks
- Chen et al., Physical Review B 2018
- Stoudenmire and Schwab, NeurIPS 2016
- Guo et al., arXiv 2018
Extended reading
- Cichocki et al., tensor network surveys, 2016 and 2017
- MERA and renormalization-based views of representation
- Khrulkov, Novikov, and Oseledets, ICLR 2018