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International Journal of Quantum Information最新文献

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Enhancing the fidelity of controlled cyclic teleportation via quantum weak measurement techniques to combat the decoherence due to amplitude damping 通过量子弱测量技术提高受控循环远距离传输的保真度,以对抗振幅阻尼导致的退相干现象
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2024-02-01 DOI: 10.1142/s021974992350051x
D. Singh, Sanjeev Kumar
This study focuses on the impact of amplitude-damping noise, which diminishes the fidelity of the teleported quantum state on an existing cyclic quantum teleportation scheme [V. Verma, D. Yadav and D. K. Mishra, Opt. Quantum Electron. 53 (2021) 1]. The CQT scheme involves three participants performing a cyclic teleportation along with a controller to supervise the protocol. We also propose weak measurement and reversal measurement operations as potential solutions to combat the noise-induced decoherence and improve the fidelity of the existing CQT scheme. The simulation results showcase the improvements achieved in the fidelity calculation when implementing the potential solutions. The findings hold immense potential for quantum information communications in practical situations.
本研究的重点是振幅阻尼噪声的影响,这种噪声会降低现有循环量子传送方案中传送量子态的保真度[V. Verma, D. Yadav and D. K. Mishra, Opt. Quantum Electron. 53 (2021) 1]。CQT 方案由三个参与者执行循环远距传输,并由一个控制器对协议进行监督。我们还提出了弱测量和反向测量操作作为潜在的解决方案,以对抗噪声引起的退相干并提高现有 CQT 方案的保真度。仿真结果表明,在实施潜在解决方案时,保真度计算得到了改善。这些发现为实际情况下的量子信息通信带来了巨大的潜力。
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引用次数: 0
Joint Remote State Preparation Protocol For Non-maximally Entangled W-states and Fidelity Analysis in Noisy Environments 非最大纠缠 W-states 的联合远程状态准备协议和噪声环境下的保真度分析
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2024-01-26 DOI: 10.1142/s0219749924500059
B. S. Choudhury, M. Mandal, S. Samanta
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引用次数: 0
Quantum α-z-fidelity and α-z-weighted right mean 量子 α-z 保真度和 α-z 加权右均值
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2024-01-19 DOI: 10.1142/s0219749924500047
T. Dinh, Cong Trinh Le, T. Vuong
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引用次数: 0
Fast and noise-robust quantum state tomography based on ELM 基于 ELM 的快速稳噪量子态层析成像技术
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2024-01-19 DOI: 10.1142/s0219749923500521
Xiao-Dong Wu, Shuang Cong

This paper proposed a quantum state tomography approach based on the extreme learning machine (ELM), which is available in the reconstruction of quantum states via a lightweight neural network. The key step of the proposed tomography approach is to employ the ELM to approximate the complex mapping between the measurement values sequence and the real density matrix. After obtaining the output of the ELM-based estimator, a matrix transformation technique is used to make the network outputs satisfy quantum state constraints. Compared with deep learning-based tomography approaches, our proposed ELM-based approach enables both high-fidelity and high-efficiency quantum state tomography with only one training process under the condition of very few numbers of training samples, network layers and hidden layer nodes. In addition, the proposed tomography approach is robust to noisy measurement values, since the ELM-based estimator is quite lightweight. Simulations on the tomography of eigenstates, superposition states and mixed states are presented to verify our theoretical findings. Also, the superiority of the ELM-based tomography approach is demonstrated in comparison with that based on the radial basis function network, convolutional neural network and maximum likelihood estimation approach.

本文提出了一种基于极端学习机(ELM)的量子态层析方法,可通过轻量级神经网络重建量子态。该方法的关键步骤是利用 ELM 逼近测量值序列与真实密度矩阵之间的复杂映射。在获得基于 ELM 的估计器输出后,利用矩阵变换技术使网络输出满足量子态约束。与基于深度学习的层析成像方法相比,我们提出的基于 ELM 的方法在训练样本、网络层和隐藏层节点数量极少的条件下,只需一次训练过程就能实现高保真和高效率的量子态层析成像。此外,由于基于 ELM 的估计器非常轻便,因此所提出的层析方法对噪声测量值具有鲁棒性。为了验证我们的理论发现,我们对特征状态、叠加状态和混合状态进行了层析成像模拟。此外,与基于径向基函数网络、卷积神经网络和最大似然估计方法的层析成像方法相比,基于 ELM 的层析成像方法更具优势。
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引用次数: 0
Complete complementarity relations for quantum correlations in neutrino oscillations with cp violation 中微子振荡中的量子相关性的完全互补关系
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2024-01-19 DOI: 10.1142/s0219749924500035
M. Blasone, C. Matrella, S. De Siena
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引用次数: 0
Application of Machine Learning to Experimental Design in Quantum Mechanics 机器学习在量子力学实验设计中的应用
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2024-01-19 DOI: 10.1142/s0219749924500023
Federico Belliardo, Fabio Zoratti, Vittorio Giovannetti
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引用次数: 0
Verifiable multi-party quantum secret sharing based on GHZ states 基于 GHZ 状态的可验证多方量子秘密共享
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2023-12-15 DOI: 10.1142/s021974992350048x
Weijie Su, Haozhen Situ, Qiong Huang, Cai Zhang
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引用次数: 0
Theoretical and Simulation Investigation of Practical QKD for both BB84 and SARG04 Protocols 针对 BB84 和 SARG04 协议的实用 QKD 理论与仿真研究
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2023-12-15 DOI: 10.1142/s0219749923500508
B. Djaouida, Sellami Ali
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引用次数: 0
Comparing two entropy functions of a quantum channel 比较量子通道的两个熵函数
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2023-12-15 DOI: 10.1142/s0219749923500491
Junfang Cheng, Yanjun Chu, Fang Huang
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引用次数: 0
Classifying Entanglement by Algebraic Geometry 用代数几何对纠缠进行分类
IF 1.2 4区 物理与天体物理 Q3 Physics and Astronomy Pub Date : 2023-12-01 DOI: 10.1142/s0219749923500478
M. Gharahi
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引用次数: 0
期刊
International Journal of Quantum Information
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