Open Access
ARTICLE
Muhammad Haris1,*, Muhammad Noman Hasan1
, Abdul Basit2, Shiyin Qin1
Journal of Quantum Computing, Vol.3, No.3, pp. 89-95, 2021, DOI:10.32604/jqc.2021.016390
Abstract This article presents a multilayer hybrid classical-quantum classifier for
predicting the lifetime of LiFePO4 batteries using early degradation data. The
multilayer approach uses multiple variational quantum circuits in cascade, which
allows more parameters to be used as weights in a single run hence increasing
accuracy and provides faster cost function convergence for the optimizer. The
proposed classifier predicts with an accuracy of 92.8% using data of the first four
cycles. The effectiveness of the hybrid classifier is also presented by validating the
performance using untrained data with an accuracy of 84%. We also demonstrate
that the proposed classifier outperforms traditional… More >
Open Access
ARTICLE
Hongchao Ma1,*, Yi Man1, Xiao Xing2, Zihan Zhuo2, Mo Chen3
Journal of Quantum Computing, Vol.3, No.3, pp. 97-105, 2021, DOI:10.32604/jqc.2021.016775
Abstract At present, the traditional blockchain for data storage and retrieval
reflects the characteristics of slow data uploading speed, high cost, and
transparency, and there are a lot of corresponding problems, such as not supporting
private data storage, large data operation costs, and not supporting Data field query.
This paper proposes a method of data encryption storage and retrieval based on
the IOTA distributed ledger, combined with the fast transaction processing speed
and zero-value transactions of the IOTA blockchain, through the Masked
Authenticated Messaging technology, so that the data is encrypted in the data
stream. The form is stored in the… More >
Open Access
ARTICLE
Linbei Wang1
, Zaoyu Tao1, Lina Wang2,*, Yongjun Ren3
Journal of Quantum Computing, Vol.3, No.3, pp. 107-118, 2021, DOI:10.32604/jqc.2021.016857
Abstract With the accelerating process of social informatization, our personal
information security and Internet sites, etc., have been facing a series of threats
and challenges. Recently, well-developed neural network has seen great
advancement in natural language processing and computer vision, which is also
adopted in intrusion detection. In this research, a hybrid model integrating MultiScale Convolutional Neural Network and Long Short-term Memory Network
(MSCNN-LSTM) is designed to conduct the intrusion detection. Multi-Scale
Convolutional Neural Network (MSCNN) is used to extract the spatial
characteristics of data sets. And Long Short-term Memory Network (LSTM) is
responsible for processing the temporal characteristics. The data… More >
Open Access
ARTICLE
Biying Deng1
, Desheng Zheng1, *, Zhifeng Liu1
, Yanling Lai1, Zhihong Zhang2
Journal of Quantum Computing, Vol.3, No.3, pp. 119-126, 2021, DOI:10.32604/jqc.2021.017250
Abstract There are two difficult in the existing image restoration methods. One
is that the method is difficult to repair the image with a large damaged, the other
is the result of image completion is not good and the speed is slow. With the
development and application of deep learning, the image repair algorithm based
on generative adversarial networks can repair images by simulating the
distribution of data. In the process of image completion, the first step is trained the
generator to simulate data distribution and generate samples. Then a large number
of falsified images are quickly generated using the generative… More >