MACHINE LEARNING AND QUANTUM COMPUTING BECOME BFFS

被引：0

作者：

Anderson, Mark

机构：

来源：

IEEE SPECTRUM | 2017年 / 54卷 / 08期

关键词：

D O I：

10.1109/MSPEC.2017.8000277

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Machine learning, the technology that allows Alexa and Siri to parse what you say and self-driving cars to cruise down a city street, could benefit from quantum-computer-derived speedups, say researchers. And if a technology incubator program in Toronto has its way, there may even be quantum machine-learning startups launching in a few years too. © 1964-2012 IEEE.

引用

页码：14 / 14

页数：1

共 50 条

[31] Quantum machine learning
Jacob Biamonte
Peter Wittek
Nicola Pancotti
Patrick Rebentrost
Nathan Wiebe
Seth Lloyd
Nature, 2017, 549 : 195 - 202
[32] Quantum machine learning
Jonathan Allcock
Shengyu Zhang
National Science Review, 2019, 6 (01) : 26 - 28
[33] Quantum machine learning
Lloyd, Seth
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 256
[34] Quantum machine learning
von Lilienfeld, O. Anatole
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 255
[35] Interactive Quantum Chemistry Enabled by Machine Learning, Graphical Processing Units, and Cloud Computing
Raucci, Umberto
Weir, Hayley
Sakshuwong, Sukolsak
Seritan, Stefan
Hicks, Colton B.
Vannucci, Fabio
Rea, Francesco
Martinez, Todd J.
ANNUAL REVIEW OF PHYSICAL CHEMISTRY, 2023, 74 : 313 - 336
[36] Harnessing Approximate Computing for Machine Learning
Shakibhamedan, Salar
Aminifar, Amin
Vassallo, Luke
TaheriNejad, Nima
2024 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI, ISVLSI, 2024, : 585 - 591
[37] A quantum information processing machine for computing by observables
Remacle, F.
Levine, R. D.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 120 (11)
[38] In-Memory Computing for Machine Learning and Deep Learning
Lepri, N.
Glukhov, A.
Cattaneo, L.
Farronato, M.
Mannocci, P.
Ielmini, D.
IEEE JOURNAL OF THE ELECTRON DEVICES SOCIETY, 2023, 11 : 587 - 601
[39] Programming multi-level quantum gates in disordered computing reservoirs via machine learning
Marcucci, Giulia
Pierangeli, Davide
Pinkse, Pepijn W. H.
Malik, Mehul
Conti, Claudio
OPTICS EXPRESS, 2020, 28 (09) : 14018 - 14027
[40] Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing
Cherbal, Sarra
Zier, Abdelhak
Hebal, Sara
Louail, Lemia
Annane, Boubakeur
JOURNAL OF SUPERCOMPUTING, 2024, 80 (03): : 3738 - 3816

← 1 2 3 4 5 →