Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future
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 …
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …
Quantum machine learning: from physics to software engineering
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …
technology and artificial intelligence. This review provides a two-fold overview of several key …
[HTML][HTML] Quantum computing in the NISQ era and beyond
J Preskill - Quantum, 2018 - quantum-journal.org
Abstract Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near
future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass …
future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass …
A rigorous and robust quantum speed-up in supervised machine learning
Recently, several quantum machine learning algorithms have been proposed that may offer
quantum speed-ups over their classical counterparts. Most of these algorithms are either …
quantum speed-ups over their classical counterparts. Most of these algorithms are either …
[BOOK][B] Machine learning with quantum computers
M Schuld, F Petruccione - 2021 - Springer
The introduction gives some context about what quantum machine learning is, how it got
established as a sub-discipline of quantum computing and which higher level approaches …
established as a sub-discipline of quantum computing and which higher level approaches …
Ground-state energy estimation of the water molecule on a trapped-ion quantum computer
Quantum computing leverages the quantum resources of superposition and entanglement to
efficiently solve computational problems considered intractable for classical computers …
efficiently solve computational problems considered intractable for classical computers …
Experimental quantum generative adversarial networks for image generation
Quantum machine learning is expected to be one of the first practical applications of near-
term quantum devices. Pioneer theoretical works suggest that quantum generative …
term quantum devices. Pioneer theoretical works suggest that quantum generative …
Towards quantum machine learning with tensor networks
Abstract Machine learning is a promising application of quantum computing, but challenges
remain for implementation today because near-term devices have a limited number of …
remain for implementation today because near-term devices have a limited number of …
Quantum computing
Quantum computing promises to be the next disruptive technology, with numerous possible
applications and implications for organizations and markets. Quantum computers exploit …
applications and implications for organizations and markets. Quantum computers exploit …
The prospects of quantum computing in computational molecular biology
Quantum computers can in principle solve certain problems exponentially more quickly than
their classical counterparts. We have not yet reached the advent of useful quantum …
their classical counterparts. We have not yet reached the advent of useful quantum …