The survey https://arxiv.org/abs/1511.04206 by Montanaro is very nice in terms of giving a bird's eye view, which is very useful. As the author states in the abstract
Here we briefly survey some known quantum algorithms, with an emphasis on a broad overview of their applications rather than their technical details. We include a discussion of recent developments and near-term applications of quantum algorithms.
That survey is now 7 years old and the field has changed. Not being an expert but just an interested outsider, I was wondering if there is a more up to date survey with similar scope and detail.
Here are three more recent surveys I found, only the first one is general.
Quantum Computing 2022, by James D. Whitfield et al https://arxiv.org/pdf/2201.09877.pdf
[We aim to] provide a sober assessment of the promise of quantum technology with a focus on computing. We provide a tour of quantum computing and quantum technology that is aimed to be comprehensible to scientists and engineers without becoming a popular account. The goal is not a comprehensive review nor a superficial introduction but rather to serve as a useful map to navigate the hype, the scientific literature, and upcoming press releases about quantum technology and quantum computing.
Ciliberto C, et al. Quantum machine learning: a classical perspective. Proceedings of the Royal Society A, 2018.
Here we review the literature in quantum ML and discuss perspectives for a mixed readership of classical ML and quantum computation experts. Particular emphasis will be placed on clarifying the limitations of quantum algorithms, how they compare with their best classical counterparts and why quantum resources are expected to provide advantages for learning problems
Laszlo Gyongyosi, Sandor Imre, A Survey on quantum computing technology, Computer Science Review, 2019.
The power of quantum computing technologies is based on the fundamentals of quantum mechanics, such as quantum superposition, quantum entanglement, or the no-cloning theorem. Since these phenomena have no classical analogue, similar results cannot be achieved within the framework of traditional computing. The experimental insights of quantum computing technologies have already been demonstrated, and several studies are in progress. Here we review the most recent results of quantum computation technology and address the open problems of the field.
I would appreciate any comments on these references and any suggestions of more surveys to look at.