NISQ computing: where are we and where do we go?

JWZ Lau, KH Lim, H Shrotriya, LC Kwek - AAPPS bulletin, 2022‏ - Springer
In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …

Quantum machine learning: A review and case studies

A Zeguendry, Z Jarir, M Quafafou - Entropy, 2023‏ - mdpi.com
Despite its undeniable success, classical machine learning remains a resource-intensive
process. Practical computational efforts for training state-of-the-art models can now only be …

Is quantum advantage the right goal for quantum machine learning?

M Schuld, N Killoran - Prx Quantum, 2022‏ - APS
Machine learning is frequently listed among the most promising applications for quantum
computing. This is in fact a curious choice: the machine-learning algorithms of today are …

Training deep quantum neural networks

K Beer, D Bondarenko, T Farrelly, TJ Osborne… - Nature …, 2020‏ - nature.com
Neural networks enjoy widespread success in both research and industry and, with the
advent of quantum technology, it is a crucial challenge to design quantum neural networks …

Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019‏ - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

A survey on quantum computing technology

L Gyongyosi, S Imre - Computer Science Review, 2019‏ - Elsevier
The power of quantum computing technologies is based on the fundamentals of quantum
mechanics, such as quantum superposition, quantum entanglement, or the no-cloning …

[HTML][HTML] Quantum computing for finance: Overview and prospects

R Orús, S Mugel, E Lizaso - Reviews in Physics, 2019‏ - Elsevier
We discuss how quantum computation can be applied to financial problems, providing an
overview of current approaches and potential prospects. We review quantum optimization …

Machine learning & artificial intelligence in the quantum domain: a review of recent progress

V Dunjko, HJ Briegel - Reports on Progress in Physics, 2018‏ - iopscience.iop.org
Quantum information technologies, on the one hand, and intelligent learning systems, on the
other, are both emergent technologies that are likely to have a transformative impact on our …

Quantum machine learning

J Biamonte, P Wittek, N Pancotti, P Rebentrost… - Nature, 2017‏ - nature.com
Fuelled by increasing computer power and algorithmic advances, machine learning
techniques have become powerful tools for finding patterns in data. Quantum systems …

Potential of quantum computing for drug discovery

Y Cao, J Romero… - IBM Journal of Research …, 2018‏ - ieeexplore.ieee.org
Quantum computing has rapidly advanced in recent years due to substantial development in
both hardware and algorithms. These advances are carrying quantum computers closer to …