Limitations to Dynamical Error Suppression and Gate-Error Virtualization from Temporally Correlated Nonclassical Noise by Michiel Burgelman, Nattaphong Wonglakhon, Diego N. Bernal-García, Gerardo A. Paz-Silva, Lorenza Viola

“…By working within an open-quantum system Hamiltonian formulation, we revisit the validity of the notion of a constant gate error in the presence of noise that is both temporally correlated and nonclassical, and the impact of which is mitigated through perfect instantaneous dynamical decoupling subject to finite timing constraints. …”
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Cosmic-ray-induced correlated errors in superconducting qubit array by Xuegang Li, Junhua Wang, Yao-Yao Jiang, Guang-Ming Xue, Xiaoxia Cai, Jun Zhou, Ming Gong, Zhao-Feng Liu, Shuang-Yu Zheng, Deng-Ke Ma, Mo Chen, Wei-Jie Sun, Shuang Yang, Fei Yan, Yi-Rong Jin, S. P. Zhao, Xue-Feng Ding, Hai-Feng Yu

“…We further investigate the dynamical process of QP burst and the impact of QP trapping on correlated errors and particle detection. …”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…Combined with the derivative dynamic time warping algorithm and dynamic programming method for multi-well sequence stratigraphic correlation, a set of automatic sequence stratigraphic division and correlation methods is proposed. …”
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Convective-scale forecast errors over Taiwan: an ensemble analysis of error covariances and their influences by Kao-Shen Chung, Chih-Chien Tsai, Li-Hsin Chen, Shu-Chih Yang

“…Using a set of 72-member ensemble forecasts generated by the Weather Research and Forecasting (WRF) model, the structures of error variance and error correlation are examined. …”
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Synchronous detection of cosmic rays and correlated errors in superconducting qubit arrays by Patrick M. Harrington, Mingyu Li, Max Hays, Wouter Van De Pontseele, Daniel Mayer, H. Douglas Pinckney, Felipe Contipelli, Michael Gingras, Bethany M. Niedzielski, Hannah Stickler, Jonilyn L. Yoder, Mollie E. Schwartz, Jeffrey A. Grover, Kyle Serniak, William D. Oliver, Joseph A. Formaggio

“…Here, we directly measured the cosmic-ray contribution to spatiotemporally correlated qubit errors. We accomplished this by synchronously monitoring cosmic-ray detectors and qubit energy-relaxation dynamics of 10 transmon qubits distributed across a 5 × 5 × 0.35  mm3 silicon chip. …”
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Research on data-driven and correlation-based electric energy error analysis method by RONG Xueqin, DING Yingying, LIU Yong

“…On the basis of the continuous accumulation of operating errors in the power system, generate full-scale error data of the electric energy meter, divide the processed full-scale error time series and key features such as timeliness, identify the change points by comparing the Pearson correlation coefficient matrix of multiple acquisition periods, and establish a data-driven error correlation prediction model that does not depend on specific power consumption environments and only relies on the intrinsic components of the electric energy meter error. …”
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Correlation of Scale Factor Non-Linearity and Vibration Rectification Error in Vibrating Beam Accelerometers by Theo Miani, Lokesh Gurung, Douglas Young, Madan Parajuli, Guillermo Sobreviela-Falces, Colin Baker, Ashwin A. Seshia

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On Expectation Correlate System and Chaotic Dynamics in Time-Series by Ali Siker

“…This paper suggests a new system of time-series called  Expectation Correlate System (ECS) that are good at detecting the behavior of  dynamical  systems (both deterministic and stochastic systems) and the dependence on initial values. …”
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Concurrent Contribution of Co-Contraction to Error Reduction During Dynamic Adaptation of the Wrist by Andria J Farrens, Kristin Schmidt, Hannah Cohen, Fabrizio Sergi

“…Compared to arm reaching tasks, we observed lower end magnitude of adaptation, and reductions in trajectory errors beyond those explained by adaptation. Thus, we formed two hypotheses: that the observed differences were due to measurement errors of the MR-SoftWrist; or that impedance control plays a significant role in control of wrist movements during dynamic perturbations. …”
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Amplitude and phase errors calibration method in satellite-borne dynamic power allocation network by Qi TANG, Jun-min JIANG, Meng XIA

“…For the mobile communication satellite each beam communication traffic distribution was not balanced,leading to differences in transmission power of downlink beam.The implementation architectures of dynamic power allocation network was given,which could allocate the transmitting beam power automatically according to the traffic demand,at the same time ensured the high efficiency of power amplifier.Because the performance of dynamic power allocation network was severely impaired by the mutual coupling among signals when amplitude/phase mismatch was existed,which led to a sharp drop in beam performance.A calibration method for the amplitude and phase errors was proposed.The decoupling of calibration signal was realized by using the cross-correlation orthogonal characteristic of the orthogonal zero-correlation zone (ZCZ) sequences in the zero correlation interval,and communication was free from calibration by reducing the transmit power for the excellent self-correlation characteristic of the ZCZ sequences.Performance simulation and far field test show that under the condition that the calibration signal power is less than the normal signal 10 dB,the amplitude error is less than 0.1 dB,the phase error is less than 0.3°,and the gain loss within the main lobe is less than 0.2 dB after calibration.…”
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Research on the Influence of the RV-40E Reducer Modal on Its Transmission Error by Ding Guolong, Zhan Mingru, Zhao Daxing, Yu Yunqing, Dong Honggang

“…For the intermediate stiffness, it is found that the transmission error is negatively correlated with the natural frequency. …”
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Estimation of Filtration Efficiency – from Simple Correlations to Digital Fluid Dynamics by Przekop Rafał

“…The aim of this review is to outline and discuss the progress of deep-bed filtration modelling from the use of simple empirical correlations to advanced techniques of Computational Fluid Dynamics and Digital Fluid Dynamics.…”
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Accurate measurements of dynamics and reproducibility in small genetic networks by Julien O Dubuis, Reba Samanta, Thomas Gregor

“…These measurements make it possible to extract not only very accurate mean gene expression profiles but also their naturally occurring fluctuations of biological origin and corresponding cross‐correlations. We use this analysis to extract gap gene profile dynamics with ∼1 min accuracy. …”
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Distance Measurement and Error Compensation of High-Speed Coaxial Rotor Blades Based on Coded Ultrasonic Ranging by Yaohuan Lu, Shan Zhang, Wenchuan Hu, Zhen Qiu, Zurong Qiu, Yongqiang Qiu

“…In this paper, a blade tip distance measurement method based on coded ultrasonic ranging and phase triggering is proposed to tackle this measurement environment and expand the application of ultrasonic ranging in high-speed dynamic measurement. The time of flight (<i>Tof</i>) of coded ultrasonic ranging is calculated by the amplitude threshold improvement method and cross-correlation method, and the sound velocity is compensated by a proposed multi-factor compensation method. …”
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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model by N. A. Moiseev, G. V. Aivazian

“…The present research proposes algorithm of assessing dynamic correlation of time series connected by TVP-regression model. …”
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Efficient Multipath Mitigation in GNSS Using Dynamic Selection and Weighting of Early-Late Correlators by Ayoub Bengherabi, Mustapha Flissi, Khaled Rouabah, Salim Attia, Diana W. Dawoud, Yassine Himeur, Shadi Atalla, Wathiq Mansoor

“…In this paper a real-time multipath interference mitigation technique is proposed for Global Navigation Satellite Systems (GNSS), employing an adaptive discriminator architecture that dynamically optimizes the selection and weighting of early-late (E-L) correlators to minimize discriminator function (DF) offset errors at the delay-locked loop (DLL) output. …”
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Impacts of Wind Assimilation on Error Correction of Forecasted Dynamic Loads from Wind, Wave, and Current for Offshore Wind Turbines by Jing Zou, Shuai Yang, Xiaolei Liu, Hang Wang, Lu Liu, Xingsen Guo, Hong Zhang, Zhijin Qiu, Zhipeng Gai

“…Atmospheric data assimilation was demonstrated to reduce the forecasting RMSE of aerodynamic load by about 12%, and its error improvement was able to be combined with GRU-based error correction. …”
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Exploring the impact of interaction dynamics and professional capacity and development on cognitive medical errors: a multiple-case study of healthcare professionals in Jordan by Heba Hijazi, Mohammad S. Alyahya, Main N. Alolayyan, Farah Ajayneh, Rabah Al Abdi, Ahmed Hossain, Alounoud AlMarzooqi, Mohamad Alameddine

“…In contrast, a significant negative correlation was found between interaction dynamics among healthcare professionals, including two subscales: interpersonal communication, and teamwork and mutual support, and cognitive MEs (β = − 0.21; p <.05). …”
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Connection dynamics: exploring trade, consumption, and government spending in emerging economies through ARDL analysis by Ankita Srivastava, Manisha Raj, Bhartrihari Pandiya, Abhay Singh Chauhan

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A LightGBM-Based Power Grid Frequency Prediction Method with Dynamic Significance–Correlation Feature Weighting by Jie Zhou, Xiangqian Tong, Shixian Bai, Jing Zhou

“…In this paper, we propose a Dynamic Significance–Correlation Weighting (D-SCW) method, which generates dynamic weight coefficients that evolve over time. …”
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