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Quantum algorithm for hyperparameters estimation

delete2020-08-17
delete4
PRE
AI
R
Rui Huang
谭晓青 (Xiaoqing Tan) *
Q
Qingshan Xu
DOI:10.1088/2058-9565/aba8aedelete
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摘要

摘要

En 中文
Hyperparameters play an important role in machine learning algorithms, such as linear regression and support vector machines. In this paper, we present a quantum hyperparameters estimation (QHE) algorithm and design the corresponding quantum circuit to accomplish HE effectively. Then we analyze the complexity, probability, and fidelity of the whole algorithm. Finally, we deploy a numerical simulation of a small-scale QHE circuit on the ibmqx4 quantum processor. Importantly, our algorithm and circuit may inspire new investigations in the field of secure quantum machine learning.
Keyword:
quantum computing
quantum machine learning
quantum algorithm

期刊

Quantum Science and Technology 封面图
Quantum Science and Technology
IF:
5
论文数:
1.4K
被引数:
5.1K

机构

J
jinan university
学者数:
4.3W
论文数: 2.7W
被引数: 38
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