| 题名 | Quantum generalisation of feedforward neural networks |
| 作者 | |
| 通讯作者 | Dahlsten，Oscar |
| 发表日期 | 2017
|
| DOI | |
| 发表期刊 | |
| EISSN | 2056-6387
|
| 卷号 | 3期号:1 |
| 摘要 | We propose a quantum generalisation of a classical neural network. The classical neurons are firstly rendered reversible by adding ancillary bits. Then they are generalised to being quantum reversible, i.e., unitary (the classical networks we generalise are called feedforward, and have step-function activation functions). The quantum network can be trained efficiently using gradient descent on a cost function to perform quantum generalisations of classical tasks. We demonstrate numerically that it can: (i) compress quantum states onto a minimal number of qubits, creating a quantum autoencoder, and (ii) discover quantum communication protocols such as teleportation. Our general recipe is theoretical and implementation-independent. The quantum neuron module can naturally be implemented photonically. |
| 相关链接 | [Scopus记录] |
| 收录类别 | |
| 语种 | 英语
|
| 学校署名 | 通讯
|
| WOS记录号 | WOS:000411015300001
|
| EI入藏号 | 20211710243608
|
| EI主题词 | Cost functions
; Gradient methods
; Quantum communication
; Quantum theory
|
| EI分类号 | Telecommunication; Radar, Radio and Television:716
; Optimization Techniques:921.5
; Numerical Methods:921.6
; Quantum Theory; Quantum Mechanics:931.4
|
| Scopus记录号 | 2-s2.0-85071902336
|
| 来源库 | Scopus
|
| 引用统计 |
被引频次[WOS]：172
|
| 成果类型 | 期刊论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/227863 |
| 专题 | 南方科技大学 |
| 作者单位 | 1.Blackett Laboratory,Imperial College London,London,SW7 2AZ,United Kingdom 2.London Institute for Mathematical Sciences,London,35a South Street Mayfair,W1K 2XF,United Kingdom 3.Clarendon Laboratory,University of Oxford,Oxford,Parks Road,OX1 3PU,United Kingdom 4.South China University of Science and Technology (SUSTech),Shenzhen,Nanshan District,China |
| 通讯作者单位 | 南方科技大学 |
| 推荐引用方式 GB/T 7714 |
Wan，Kwok Ho,Dahlsten，Oscar,Kristjánsson，Hlér,et al. Quantum generalisation of feedforward neural networks[J]. npj Quantum Information,2017,3(1).
|
| APA |
Wan，Kwok Ho,Dahlsten，Oscar,Kristjánsson，Hlér,Gardner，Robert,&Kim，M. S..(2017).Quantum generalisation of feedforward neural networks.npj Quantum Information,3(1).
|
| MLA |
Wan，Kwok Ho,et al."Quantum generalisation of feedforward neural networks".npj Quantum Information 3.1(2017).
|
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
;
修改评论