An Efficient and Secure Arbitrary N-Party Quantum Key Agreement Protocol Using Bell States

Liu, Wenjie; Xu, Yan; Yang, Ching-Nung; Gao, Peipei; Yu, Wai

doi:10.1007/s10773-017-3553-x

Cited by 38 publications

(12 citation statements)

References 35 publications

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“…In addition, machine learning techniques have been widely used in forecasting a variety of complex data, such as deep learning [Tu, Lin, Wang et al (2018)]. Liu et al [Liu, Xu, Yang et al (2018)] proposed an efficient and secure arbitrary N-Party quantum key agreement protocol.…”

Section: Literature Reviewmentioning

confidence: 99%

The Volatility of High-Yield Bonds Using Mixed Data Sampling Methods

Zhang¹,

Yao²,

Xia³

et al. 2019

Computers, Materials &Amp; Continua

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It is well known that economic policy uncertainty prompts the volatility of the high-yield bond market. However, the correlation between economic policy uncertainty and volatility of high-yield bonds is still not clear. In this paper, we employ GARCH-MIDAS models to investigate their correlation with US economic policy uncertainty index and S&P high-yield bond index. The empirical studies show that mixed volatility models can effectively capture the realized volatility of high-yield bonds, and economic policy uncertainty and macroeconomic factors have significant effects on the long-term component of high-yield bonds volatility.

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Section: Literature Reviewmentioning

confidence: 99%

The Volatility of High-Yield Bonds Using Mixed Data Sampling Methods

Zhang¹,

Yao²,

Xia³

et al. 2019

Computers, Materials &Amp; Continua

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“…information processing, encrypted transmission, machine learning, etc.) has also achieved some important results, such as quantum key agreement (QKA) [6], [7], quantum secure direct communication (QSDC) [8], [9], quantum teleportation and remote state preparation (QT&RSP) [10]- [12], quantum steganography (QS) [13]- [15], delegating quantum computation (DQC) [16], [17], and quantum machine learning [18], [19].…”

Section: Introductionmentioning

confidence: 99%

A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets

et al. 2019

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In order to solve the problem of non-ideal training sets (i.e., the less-complete or overcomplete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on unitary weights is proposed, where the singular value decomposition of the total weight matrix from the training set is calculated to make the weight matrix to be unitary. The example validation of quantum gates {H, S, T, CNOT, Toffoli, Fredkin} shows that our algorithm can accurately implement arbitrary quantum gates within one iteration. The performance comparison between our algorithm and other quantum perceptron algorithms demonstrates the advantages of our algorithm in terms of applicability, accuracy, and availability. For further validating the applicability of our algorithm, a quantum composite gate which consists of several basic quantum gates is also illustrated. INDEX TERMS Quantum perceptron, unitary weight, one-iteration learning, non-ideal training set, singular value decomposition, universal quantum gates.

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“…By using the quantum entanglement resources, a variety of quantum communication protocols were put forward to solve the problem of quantum information transmission, such as quantum secure direct communication [Wang, Deng, Li et al (2005)], quantum secret sharing [Lin, Guo, Xu et al (2016); Chen, Tang, Xu et al (2018)], quantum key management [Xu, Chen, Duo et al (2015); Liu, Xu, Yang et al (2018)], quantum steganography [Wei, Chen, Niu et al (2015); Qu, Cheng, Liu et al (2018); Qu, Chen, Ji et al (2018)], quantum teleportation (QT) [Fortes and Rigolin (2017); Bennett, Brassard, Crépeau et al (1993); Tan, Li and Yang (2018)] and remote state preparation (RSP) [Pati (2000); Cavaillès, Le Jeannic, Raskop et al (2017]. In a RSP, the sender (Alice) can prepare a known state for a remote receiver (Bob) via a shared quantum channel and some classical communications.…”

Section: Introductionmentioning

confidence: 99%

An Asymmetric Controlled Bidirectional Quantum State Transmission Protocol

Sun¹,

Chen²,

Ahmad³

et al. 2019

Computers, Materials &Amp; Continua

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In this paper, we propose an asymmetric controlled bidirectional transmission protocol. In the protocol, by using the thirteen-qubit entangled state as the quantum channel, Alice can realize the transmission of a two-qubit equatorial state for Bob and Bob can transmit a four-qubit equatorial state for Alice under the control of Charlie. Firstly, we give the construction of the quantum channel, which can be done by performing several H and CNOT operations. Secondly, through implementing the appropriate measurements and the corresponding recovery operations, the desired states can be transmitted simultaneously, securely and deterministically. Finally, we analyze the performance of the protocol, including the efficiency, the necessary operations and the classical communication costs. And then, we describe some comparisons with other protocols. Since our protocol does not require auxiliary particles and additional operations, the classic communication costs less while achieving the multi-particle bidirectional transmission, so the overall performance of the protocol is better.

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An Efficient and Secure Arbitrary N-Party Quantum Key Agreement Protocol Using Bell States

Cited by 38 publications

References 35 publications

The Volatility of High-Yield Bonds Using Mixed Data Sampling Methods

The Volatility of High-Yield Bonds Using Mixed Data Sampling Methods

A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets

An Asymmetric Controlled Bidirectional Quantum State Transmission Protocol

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