Article
Quantum Science & Technology
Wei-Feng Zhou, Li-Li Ge, Zi-Xin Huang, Li-Zhen Jiang, Xiao-yu Chen
Summary: In this article, we provide necessary and sufficient conditions for the full separability of four-qubit GHZ and W mixed states using entanglement witnesses. We also present a method for constructing optimal product states.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Quantum Science & Technology
Marco A. Rodriguez-Garcia, Isaac Perez Castillo, P. Barberis-Blostein
Summary: Researchers review existing methods, identify problems, and propose a new approach to improve the accuracy and efficiency of estimating quantum phases.
Article
Chemistry, Physical
Zheng Liu, Zhenhua Zhao, Yuan Qiu, Benqin Jing, Chunshan Yang
Summary: Nonlinear filter methods are commonly used for model-driven battery SOC estimation due to their ability to suppress Gaussian noise. To enhance the anti-interference performance, a novel method that combines the adaptive kernel width based maximum correntropy criterion (AMCC) with the Levenberg-Marguardt (L-M) principle based adaptive iterative extended KF (AIEKF) is proposed. The AMCC-AIEKF method shows advantages in terms of SOC estimation accuracy and robustness under different operational conditions with noiseless, Gaussian noise and non-Gaussian noise when compared with other methods.
JOURNAL OF POWER SOURCES
(2023)
Article
Multidisciplinary Sciences
E. Ghasemian, M. K. Tavassoly
Summary: A theoretical scheme for generating stationary entangled states is proposed, resulting in two classes of entangled states. Analytical solutions for the population and coherence of the system are obtained, showing that residual coherence can be maintained even in equilibrium. The two-qubit system is successfully encoded for solving a binary classification problem, demonstrating high accuracy and superiority over classical classifiers.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Multidisciplinary
Julio J. Fernandez
Summary: We study the similarities and differences between one-qubit Novikov quantum heat engines and classic Novikov heat engines. We find that they have similar power-efficiency curves but very different ecological function-efficiency curves. Our analysis shows that in quantum engines, the maximum values of power and ecological function, as well as the efficiencies at which they are produced, depend on thermal couplings and the energy of the qubit inducing the heat flux that makes the engine work.
EUROPEAN PHYSICAL JOURNAL PLUS
(2023)
Article
Quantum Science & Technology
Yao-Kun Wang, Rui-Xin Chen, Li-Zhu Ge, Shao-Ming Fei, Zhi-Xi Wang
Summary: The quantum deficit, analogous to quantum entanglement, is an important type of quantum correlations that connects quantum thermodynamics and quantum information. We analytically calculate the one-way deficit of the generalized n-qubit Werner state and observe that it increases with the mixing probability p for any n. Additionally, we find that the one-way deficit increases with n for fixed p and attains its maximum value at p = 1. Moreover, we prove that for large n, the curve of one-way deficit versus p approaches a straight line with a slope of 1. Furthermore, we calculate the Holevo quantity for the generalized n-qubit Werner state and show that it is zero.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Automation & Control Systems
Lijuan Zha, Rongfei Liao, Jinliang Liu, Xiangpeng Xie, Jinde Cao, Lianglin Xiong
Summary: This article introduces an adaptive event-triggered scheme to address the capacity constraint of networked resources and the occurrence of cyber-attacks. A new state estimation error system model is established to ensure finite-time boundedness and H infinity finite-time boundedness. Design methods for asynchronous estimator gains are derived to guarantee the H infinity finite-time boundedness of the estimation error system. A numerical example is provided to illustrate the effectiveness of the theoretical results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Energy & Fuels
Rui Xiong, Yanzhou Duan, Kaixuan Zhang, Da Lin, Jinpeng Tian, Cheng Chen
Summary: Accurate estimation of state-of-charge (SOC) is crucial for efficient and safe battery applications. However, existing SOC estimation methods fail for LiFePO4 batteries due to their flat voltage-SOC relationship. To address this, an adaptive algorithm is used to identify open-circuit voltage (OCV) and update parameters for the extended Kalman filter based on different OCV ranges. Additional filtering methods improve the stability of estimation. Experimental validation shows high accuracy and stability with a maximum absolute error of <2%. Real battery data further confirms the viability of the proposed method, laying a foundation for reliable LiFePO4 battery management in electric vehicles.
Article
Physics, Multidisciplinary
Xiao-Fang Liu, Dong-Fen Li, Yun-Dan Zheng, Xiao-Long Yang, Jie Zhou, Yu-Qiao Tan, Ming-Zhe Liu
Summary: This paper presents a scheme for arbitrary two-qubit quantum controlled teleportation, where the quantum state is transmitted and reconstructed under the supervision of a third party. The scheme's operation process is verified experimentally and its security is analyzed and proven through the introduction of different photonic states.
Article
Quantum Science & Technology
I Zohar, B. Haylock, Y. Romach, M. J. Arshad, N. Halay, N. Drucker, R. Stoehr, A. Denisenko, Y. Cohen, C. Bonato, A. Finkler
Summary: Quantum sensors have the potential to achieve high sensitivity using quantum algorithms. The adaptive phase estimation algorithm (PEA) has been proven to achieve such sensitivity with single-shot readout (SSR) sensors, but applying it to non-SSR sensors is challenging. A binomial distribution technique has been shown to be superior to the majority-voting approach in accounting for the averaged nature of the measurement. In this study, we apply the binomial distribution approach to a non-SSR sensor and propose an adaptive algorithm to further improve accuracy.
QUANTUM SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Andrew H. Song, Seong-Eun Kim, Emery N. Brown
Summary: Short-time Fourier transform (STFT) is a commonly used method for analyzing the spectrotemporal dynamics of time series, but it has the problem of large estimation errors. To solve this problem, the state-space multitaper (SSMT) method is used. However, this method is difficult to capture the highly nonstationary spectral dynamics of time series. We propose an adaptive SSMT (ASSMT) method, which tracks highly nonstationary dynamics by adaptively updating the state parameters and Kalman gains.
IEEE SIGNAL PROCESSING LETTERS
(2022)
Article
Engineering, Multidisciplinary
Jianbo Shao, Wu Chen, Ya Zhang, Fei Yu, Jingxian Wang
Summary: An adaptive maximum correntropy cubature Kalman filter is proposed in this paper to address the interference of outliers on state estimation and measurement noise covariance matrix. It utilizes the sliding window and variational Bayesian approximation to effectively handle the disturbance caused by outliers.
Article
Quantum Science & Technology
Xinhong Han, Ya Xiao, Huichao Qu, Runhong He, Xuan Fan, Tian Qian, Yongjian Gu
Summary: In this study, a new quantum steering scenario is proposed where the number of Alices who can share steering with a single Bob increases as the number of measurement settings increases. Interestingly, it is found that while at most 2 Alices can share steering with 2 Bobs for a fixed N, 4 or more Alices are allowed to share steering with a single Bob. The research also analyzes the required purity of the initial Werner state for robust steering sharing.
QUANTUM INFORMATION PROCESSING
(2021)
Article
Physics, Multidisciplinary
Yanbo Lou, Shengshuai Liu, Jietai Jing
Summary: The study demonstrates the experimental realization of the partially disembodied quantum state transfer protocol on an all-optical platform, linking the all-optical quantum teleportation and the optimal 1 -> N coherent state cloning protocols. These three protocols are implemented in a single all-optical machine, showing potential in building a multifunctional quantum information system.
PHYSICAL REVIEW LETTERS
(2021)
Article
Quantum Science & Technology
Aniket Rath, Vittorio Vitale, Sara Murciano, Matteo Votto, Jerome Dubail, Richard Kueng, Cyril Branciard, Pasquale Calabrese, Benoit Vermersch
Summary: The operator entanglement (OE) is a key quantifier of the complexity of a reduced density matrix. By performing a new data analysis of experimental results, we obtain the first experimental estimation of the OE in a quantum many-body system. The obtained OE displays the expected entanglement barrier in large systems.
Article
Optics
Takanori Sugiyama
Article
Physics, Multidisciplinary
Takanori Sugiyama, Peter S. Turner, Mio Murao
NEW JOURNAL OF PHYSICS
(2012)
Article
Optics
Takanori Sugiyama, Peter S. Turner, Mio Murao
Article
Physics, Multidisciplinary
Takanori Sugiyama, Peter S. Turner, Mio Murao
PHYSICAL REVIEW LETTERS
(2013)
Article
Physics, Applied
Y. Sunada, S. Kono, J. Ilves, S. Tamate, T. Sugiyama, Y. Tabuchi, Y. Nakamura
Summary: This study demonstrates the suppression of resonator-mediated qubit decay by utilizing the distributed-element, multimode nature of the resonator. Using this method, high-fidelity readout and reset operations can be achieved.
PHYSICAL REVIEW APPLIED
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Yasunari Suzuki, Takanori Sugiyama, Tomochika Arai, Wang Liao, Koji Inoue, Teruo Tanimoto
Summary: This paper proposes an FTQC architecture called Q3DE, which enhances the tolerance to multi-bit burst errors (MBBEs) caused by cosmic rays. Through dynamic adjustments of the encoding level and re-estimating recovery operations, Q3DE effectively reduces the impact of MBBEs and decreases their period and size. This scheme is versatile for various physical devices and FTQC architectures.
2022 55TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE (MICRO)
(2022)
Article
Optics
Takanori Sugiyama, Shinpei Imori, Fuyuhiko Tanaka
Summary: Quantum tomography is a commonly used characterization method in experiments, but its standard protocols are unreliable due to preknowledge assumptions. Self-consistent quantum tomography treats each quantum operation as an unknown object to be characterized, but faces the challenge of unique determination of characterization results due to experimentally undetectable gauge degrees of freedom. Regularization technique is proposed to fix the gauge with a method that converges to the quantum operations' gauge-equivalence class at the limit of infinite data, ensuring reliability.
Article
Optics
Atsushi Noguchi, Alto Osada, Shumpei Masuda, Shingo Kono, Kentaro Heya, Samuel Piotr Wolski, Hiroki Takahashi, Takanori Sugiyama, Dany Lachance-Quirion, Yasunobu Nakamura
Article
Optics
Yuki Takeuchi, Yuichiro Matsuzaki, Koichiro Miyanishi, Takanori Sugiyama, William J. Munro
