Variational quantum algorithms

M Cerezo, A Arrasmith, R Babbush… - Nature Reviews …, 2021 - nature.com
Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …

Advances in quantum cryptography

S Pirandola, UL Andersen, L Banchi… - Advances in optics …, 2020 - opg.optica.org
Quantum cryptography is arguably the fastest growing area in quantum information science.
Novel theoretical protocols are designed on a regular basis, security proofs are constantly …

Quantum repeaters: From quantum networks to the quantum internet

K Azuma, SE Economou, D Elkouss, P Hilaire… - Reviews of Modern …, 2023 - APS
A quantum internet is the holy grail of quantum information processing, enabling the
deployment of a broad range of quantum technologies and protocols on a global scale …

Supervised learning with quantum-enhanced feature spaces

V Havlíček, AD Córcoles, K Temme, AW Harrow… - Nature, 2019 - nature.com
Abstract Machine learning and quantum computing are two technologies that each have the
potential to alter how computation is performed to address previously untenable problems …

Quantum internet: A vision for the road ahead

S Wehner, D Elkouss, R Hanson - Science, 2018 - science.org
BACKGROUND The internet has had a revolutionary impact on our world. The vision of a
quantum internet is to provide fundamentally new internet technology by enabling quantum …

Quantum variational algorithms are swamped with traps

ER Anschuetz, BT Kiani - Nature Communications, 2022 - nature.com
One of the most important properties of classical neural networks is how surprisingly
trainable they are, though their training algorithms typically rely on optimizing complicated …

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 …

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 entanglement

R Horodecki, P Horodecki, M Horodecki… - Reviews of modern …, 2009 - APS
All our former experience with application of quantum theory seems to say that what is
predicted by quantum formalism must occur in the laboratory. But the essence of quantum …

Group-invariant quantum machine learning

M Larocca, F Sauvage, FM Sbahi, G Verdon, PJ Coles… - PRX Quantum, 2022 - APS
Quantum machine learning (QML) models are aimed at learning from data encoded in
quantum states. Recently, it has been shown that models with little to no inductive biases (ie …