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21,840 result(s) for "subsystem"
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Improvements of AdV+ Injection system for O5
To achieve a geometrically stable configuration, the Advanced Virgo+ (AdV+) gravitational wave detector will undergo a major upgrade, increasing the length of its recycling cavities. This infrastructural change significantly impacts the injection subsystem, particularly its in-vacuum part, which had to be completely redesigned to align with the new interferometer optical layout. This presentation details the key modifications planned for the Injection system, along with enhancements based on the O4 commissioning experience, while ensuring the beam delivered to the interferometer meets the stringent performance requirements. The proposed modifications have been reviewed as part of the design report for Advanced Virgo plus for O5 [1] and should be implemented in the coming years.
Code deformation and lattice surgery are gauge fixing
The large-scale execution of quantum algorithms requires basic quantum operations to be implemented fault-tolerantly. The most popular technique for accomplishing this, using the devices that can be realized in the near term, uses stabilizer codes which can be embedded in a planar layout. The set of fault-tolerant operations which can be executed in these systems using unitary gates is typically very limited. This has driven the development of measurement-based schemes for performing logical operations in these codes, known as lattice surgery and code deformation. In parallel, gauge fixing has emerged as a measurement-based method for performing universal gate sets in subsystem stabilizer codes. In this work, we show that lattice surgery and code deformation can be expressed as special cases of gauge fixing, permitting a simple and rigorous test for fault-tolerance together with simple guiding principles for the implementation of these operations. We demonstrate the accuracy of this method numerically with examples based on the surface code, some of which are novel.
Rules, role models or overall climate at home? Relative associations of different family aspects with adolescents' problematic social media use
This study aimed to enhance knowledge on which aspects of the family context are most relevant in identifying at-risk/problematic social media users among adolescents. Therefore, we examined the relative contribution to adolescents' at-risk/problematic social media use (SMU) of general and Internet-specific family factors related to three different family (sub)systems: parent-child (Internet-specific rule-setting, reactive restrictions towards Internet use, co-use, adolescents' involvement in rule-setting and positive parenting), parent (parental screen time, phubbing, stress, anxiety and depression) and family (family functioning, family intactness and SES) (sub)system. Questionnaire data came from 403 adolescents (M = 13.51, SD = 2.15) and 396 parents (M = 46.59, SD = 5.29) who participated in wave 1 of the Dutch ‘Digital Family project’. Logistic regression analyses showed that only factors related to the parent-child subsystem remained significant in predicting being an at-risk/problematic social media user when examining predictors related to the parent-child, parent and family (sub)system simultaneously. Specifically, general and Internet-specific parenting practices contributed to the prediction above and beyond each other. Positive parenting and Internet-specific rule-setting seem protective, while parental reactive restrictions towards Internet use could be a risk factor. Positive parenting showed the largest effect size. The results suggest that parental behaviors directed towards the child should be a focus of attention in prevention of adolescents' problematic SMU. In addition, our findings highlight the importance of untangling restrictive mediation (impulsive, in the moment, attempts to limit SMU versus communicating clear rules in advance) when examining its effects. •Relative associations of family subsystems with problematic SMU are examined.•Especially the parent-child system seems important to consider in preventing problematic SMU.•General and Internet-specific parenting relate to problematic SMU above and beyond each other.•Internet-specific rules and positive parenting are negatively related to problematic SMU.•Reactive restrictions towards Internet use is positively related to problematic SMU.
Intelligent Customer Service System Optimization Based on Artificial Intelligence
To elevate the intelligence of customer service dialogue systems, this article proposes an intelligent customer service system comprising chat dialogue subsystems, task-oriented multi-turn dialogue subsystems, single-turn dialogue subsystems, and an integration model. Firstly, to enhance diversity of responses and improve user experience, particularly in casual chat scenarios, this article presents a Seq2Seq-based approach for multi-answer responses, allowing for more expressive emotional expression in responses. Secondly, to address situations where customers cannot articulate their needs in a single sentence during multi-turn dialogues, this article designs a task-oriented multi-turn dialogue module. It employs intent recognition and slot filling to maintain contextual information throughout the conversation, aiding customers in problem resolution. Lastly, to overcome the current limitation of intelligent customer service models providing relatively one-dimensional answers in specific domains.
Handling leakage with subsystem codes
Leakage is a particularly damaging error that occurs when a qubit state falls out of its two-level computational subspace. Compared to independent depolarizing noise, leaked qubits may produce many more configurations of harmful correlated errors during error-correction. In this work, we investigate different local codes in the low-error regime of a leakage gate error model. When restricting to bare-ancilla extraction, we observe that subsystem codes are good candidates for handling leakage, as their locality can limit damaging correlated errors. As a case study, we compare subspace surface codes to the subsystem surface codes introduced by Bravyi et al. In contrast to depolarizing noise, subsystem surface codes outperform same-distance subspace surface codes below error rates as high as ⪅ 7.5 × 10−4 while offering better per-qubit distance protection. Furthermore, we show that at low to intermediate distances, Bacon-Shor codes offer better per-qubit error protection against leakage in an ion-trap motivated error model below error rates as high as ⪅ 1.2 × 10−3. For restricted leakage models, this advantage can be extended to higher distances by relaxing to unverified two-qubit cat state extraction in the surface code. These results highlight an intrinsic benefit of subsystem code locality to error-corrective performance.
Large Scale Dynamics Visualization On GPU
Simulating and visualizing dynamics of systems consisting of large amount of particles on GPU can be generally difficult due to limitation on data size and programmability. We propose a scheme for developing such algorithms when there exists certain kind of independence and similarity between subsystems. We have instantiated the scheme into algorithms and have integrated them into a real-world game engine. Empirical results show that these algorithms incur little overhead with tens of thousands of particles.
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression
Rumination is strongly and consistently correlated with depression. Although multiple studies have explored the neural correlates of rumination, findings have been inconsistent and the mechanisms underlying rumination remain elusive. Functional brain imaging studies have identified areas in the default mode network (DMN) that appear to be critically involved in ruminative processes. However, a meta-analysis to synthesize the findings of brain regions underlying rumination is currently lacking. Here, we conducted a meta-analysis consisting of experimental tasks that investigate rumination by using Signed Differential Mapping of 14 fMRI studies comprising 286 healthy participants. Furthermore, rather than treat the DMN as a unitary network, we examined the contribution of three DMN subsystems to rumination. Results confirm the suspected association between rumination and DMN activation, specifically implicating the DMN core regions and the dorsal medial prefrontal cortex subsystem. Based on these findings, we suggest a hypothesis of how DMN regions support rumination and present the implications of this model for treating major depressive disorder characterized by rumination. •Rumination is strongly and consistently correlated with depression.•Meta-analyze the findings of brain regions regarding to rumination.•Specifically examined the contribution of three DMN subsystems to rumination.•Rumination is specifically correlated with the DMN core regions and the dorsal medial prefrontal cortex subsystem.
Regional Stability of Switching Control Circuit Systems with Multiple Equilibria
This paper investigates the stability of systems of multi-equilibrium switching circuits. For a first-order switching circuit system with two subsystems containing unique equilibria and different equilibria, we first establish a sufficient condition for the stability of the region of the multi-equilibrium first-order switching circuit system, and then complete the proof of its stability by means of a general solution of the system state. Secondly, for the second-order multi-equilibrium switching circuit system, the sufficient condition for the stability of the second-order multi-equilibrium switching circuit system is given, and the feasibility of the theorem is finally proved by drawing on existing research results and related sufficient conditions. The conclusions obtained show that the system of first- and second-order multiple equilibria switching circuits in the region is regionally stable after the corresponding switching paths.
APGC-LVIW: LiDAR-visual-inertial-wheel SLAM with adaptive planar geometric constraints
This paper proposes a novel multisensor fusion ground SLAM system that integrates LiDAR, visual, IMU, and wheel encoder data to enhance localization and mapping accuracy in complex environments. The proposed system consists of a LiDAR subsystem and a visual subsystem. To fully leverage the complementary advantages of LiDAR and visual sensors, the two subsystems provide each other with initial values for optimization. LiDAR supplies high-precision depth information to the visual subsystem, while the visual subsystem assists the LiDAR module in motion distortion correction, thereby enhancing the overall accuracy of state estimation. In addition, a novel plane extraction method is proposed based on adaptive dynamic distance thresholds and normal vector consistency verification. And the planar factor is introduced into the LiDAR subsystem for joint optimization. Constraining continuous planar structures (such as the ground and walls) reduces matching ambiguity, which further decreases local map noise and improves mapping accuracy. The proposed method has been extensively evaluated in complex urban campus scenarios, and the results show the effectiveness and accuracy of the algorithm.