Recent QML Literature

[Adrian_Kaczmarczyk]

So, I’ve been out of the QML game for a couple of months and I was looking to start a new project, but before I get too deeply into that I’d like to do a survey of the QML literature over the last year or two, with an emphasis on variational quantum algorithms. Mostly what I’ve been finding are very broad reviews of things that I largely already know, eg https://arxiv.org/ftp/arxiv/papers/2006/2006.12270.pdf

Does anybody have good literature recommendations to get back up to speed with the current state of QML in general and variational algorithms in specific? Are there any big development in the field from the last year or so I may have missed while I was working on other things?

[isaacdevlugt]

Hey @Adrian_Kaczmarczyk! Welcome back

I asked some folks here at Xanadu for a curated list and this is what they recommended:

• https://arxiv.org/pdf/2012.09265.pdf
• [2210.08566] Theory for Equivariant Quantum Neural Networks
• Introduction to Geometric Quantum Machine Learning | PennyLane Demos
• [2106.12627] Provably efficient machine learning for quantum many-body problems
• [2210.14894] Learning to predict arbitrary quantum processes
• [2306.00061] Shadows of quantum machine learning
• [2206.11740] Classical surrogates for quantum learning models
• [2205.06217] Exploiting symmetry in variational quantum machine learning

It’s hard to make a list that summarizes everything, but I think list will occupy a good amount of your time

We also have have a new PennyLane survey where we’re gathering feedback to see how we can continue improving PennyLane for our users . We’d love to get your input!