A survey of important issues in quantum computing and communications

Z Yang, M Zolanvari, R Jain - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Driven by the rapid progress in quantum hardware, recent years have witnessed a furious
race for quantum technologies in both academia and industry. Universal quantum …

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 …

[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 …

Quantum machine learning: a classical perspective

C Ciliberto, M Herbster, AD Ialongo… - … of the Royal …, 2018 - royalsocietypublishing.org
Recently, increased computational power and data availability, as well as algorithmic
advances, have led machine learning (ML) techniques to impressive results in regression …

Quantum boltzmann machine

MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko - Physical Review X, 2018 - APS
Inspired by the success of Boltzmann machines based on classical Boltzmann distribution,
we propose a new machine-learning approach based on quantum Boltzmann distribution of …

Prospects for quantum enhancement with diabatic quantum annealing

EJ Crosson, DA Lidar - Nature Reviews Physics, 2021 - nature.com
Optimization, sampling and machine learning are topics of broad interest that have inspired
significant developments and new approaches in quantum computing. One such approach …

Machine learning topological states

DL Deng, X Li, S Das Sarma - Physical Review B, 2017 - APS
Artificial neural networks and machine learning have now reached a new era after several
decades of improvement where applications are to explode in many fields of science …

Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers

A Perdomo-Ortiz, M Benedetti… - Quantum Science …, 2018 - iopscience.iop.org
With quantum computing technologies nearing the era of commercialization and quantum
supremacy, machine learning (ML) appears as one of the promising'killer'applications …