Acta Scientific Applied Physics (ASAP)

Short Communication Volume 2 Issue 5

Exponential Acceleration of Quantum Computing - The Key to Universal Quantum Computer Implementation

Chun Miao* and Peng Zhu

Nanjing University of Science and Technology, Nanjing, China

*Corresponding Author: Peng Zhu, Nanjing University of Science and Technology, Nanjing, China.
Chun Miao: miaochun127@163.com; ORCID: 0000-0003-2914-1897 Peng Zhu: pzhu@njust.edu.cn; ORCID: 0000-0003-3687-9187

Received: March 29, 2022; Published: April 18, 2022

There are a number of fields in computer science and physics overlap. Quantum machine learning, for example, is the main field of crossover between quantum physics and artificial intelligence research. The underlying models of machine learning, such as deep neural networks, have become increasingly complicated and expensive as datasets become more complex. Based on this, the combination of machine learning and quantum computing technology has rapidly become a promising research area in quantum information science. This paper presents a reflective review of the research hotspots in quantum machine learning.

References

Citation

Citation: Chun Miao and Peng Zhu. “Exponential Acceleration of Quantum Computing - The Key to Universal Quantum Computer Implementation". Acta Scientific Applied Physics 2.5 (2022): 03-04.

Copyright

Copyright: © 2022 Chun Miao and Peng Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor1.014

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