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Published at November 25

A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow

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Released Date: November 25, 2024

Authors: Yuji Cao¹, Yue Chen¹, Yan Xu²

Aff.: ¹Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China; ²School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore

Arxiv: http://arxiv.org/abs/2411.16117v1

Voltage Magnitude (kV) Results at Node 30 ( $N=1000$ )
Quantities	Reference	$\sigma=0$	$\sigma=1$	$\sigma=5$	$\sigma=10$
Mean	12.6592	12.6592	12.6592	12.6592	12.6594
$\varepsilon^{V_{30}}_{\text{mean}}(\%)$	\	$\leq 10^{-5}$	0.0002	0.0008	0.0019
STD	0.0009	0.0009	0.0007	0.0006	0.0005
$\varepsilon^{V_{30}}_{\text{STD}}(\%)$	\	1.3087	18.8674	36.6288	37.9414