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

[1] Machine learning, quantum computing speed ahead
Kwan, Rick
[J]. AEROSPACE AMERICA, 2016, 54 (11) : 39 - 39
[2] Machine learning methods in quantum computing theory
Fastovets, D., V
Bogdanov, Yu, I
Bantysh, B., I
Lukichev, V. F.
[J]. INTERNATIONAL CONFERENCE ON MICRO- AND NANO-ELECTRONICS 2018, 2019, 11022
[3] Machine Learning Algorithms in Quantum Computing: A Survey
Ramezani, Somayeh Bakhtiari
Sommers, Alexander
Manchukonda, Harish Kumar
Rahimi, Shahram
Amirlatifi, Amin
[J]. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
[4] Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
Garcia-Ramos, Jose-Enrique
Saiz, Alvaro
Arias, Jose M.
Lamata, Lucas
Perez-Fernandez, Pedro
[J]. ADVANCED QUANTUM TECHNOLOGIES, 2024,
[5] Quantum Computing and Machine Learning on an Integrated Photonics Platform
Zhu, Huihui
Lin, Hexiang
Wu, Shaojun
Luo, Wei
Zhang, Hui
Zhan, Yuancheng
Wang, Xiaoting
Liu, Aiqun
Kwek, Leong Chuan
[J]. INFORMATION, 2024, 15 (02)
[6] SoK: quantum computing methods for machine learning optimization
Baniata, Hamza
[J]. QUANTUM MACHINE INTELLIGENCE, 2024, 6 (02)
[7] Climate Change Through Quantum Lens: Computing and Machine Learning
Rahman, Syed Masiur
Alkhalaf, Omar Hamad
Alam, Md Shafiul
Tiwari, Surya Prakash
Shafiullah, Md
Al-Judaibi, Sarah Mohammed
Al-Ismail, Fahad Saleh
[J]. EARTH SYSTEMS AND ENVIRONMENT, 2024, 8 (03) : 705 - 722
[8] Machine learning and quantum computing for reactive turbulence modeling and simulation
Givi, Peyman
[J]. MECHANICS RESEARCH COMMUNICATIONS, 2021, 116
[9] Using quantum transport networks for classification: A path toward quantum computing for machine learning
Lorber, Shmuel
Zimron, Oded
Zak, Inbal Lorena
Milo, Anat
Dubi, Yonatan
[J]. PHYSICAL REVIEW APPLIED, 2024, 22 (01):
[10] Extending the reach of quantum computing for materials science with machine learning potentials
Schuhmacher, Julian
Mazzola, Guglielmo
Tacchino, Francesco
Dmitriyeva, Olga
Bui, Tai
Huang, Shanshan
Tavernelli, Ivano
[J]. AIP ADVANCES, 2022, 12 (11)

← 1 2 3 4 5 →