Identification of Soft Modes in Amorphous Al2O3${\rm Al}_{2}{\rm O}_{3}$ via First‐Principles
Two‐level systems appear in superconducting qubits, hastening decoherence. The precise nature of these two‐level systems remains unknown. By performing first‐principles simulations, evidence is provided that spatially localized, low‐frequency modes vibrational modes serve as two‐level systems in amorphous aluminum oxide and demonstrate that ...
Alexander C. Tyner+6 more
wiley +1 more source
A source coding approach to classification by vector quantization and the principle of minimum description length [PDF]
Jing Li
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Beyond Kagome: p$p$‐Bands in Kagome Metals
Recent studies on quantum materials where transition‐metal atoms give rise to d$d$‐bands typical of kagome metals are reviewed. Using examples from several material families – AV3Sb5${\rm AV}_3{\rm Sb}_5$, FeGe, RV6Sn6${\rm RV}_6{\rm Sn}_6$, and LaRu3Si2${\rm LaRu}_3{\rm Si}_2$ – it is argued that p$p$‐bands contributed by elements beyond the kagome ...
Alexander A. Tsirlin, Ece Uykur
wiley +1 more source
Distributed Leader‐Following Formation of Discrete‐Time Multi‐Agent LPV Systems
ABSTRACT This paper addresses the leader‐following formation consensus problem for multi‐agent systems (MASs) with agents represented by discrete‐time linear parameter‐varying (LPV) models. The scenario where each agent can be modeled with distinct time‐varying scheduling parameters is investigated with respect to compensation signals.
Paulo S. P. Pessim+4 more
wiley +1 more source
Nearly optimal vector quantization via linear programming [PDF]
Jyh-Han Lin, Jeffrey Scott Vitter
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Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source
Advances and Trends in Terrain Classification Methods for Off‐Road Perception
ABSTRACT Off‐road autonomous vehicles (OAVs) are becoming increasingly popular for navigating challenging environments in agriculture, military, and exploration applications. These vehicles face unique challenges, such as unpredictable terrain, dynamic obstacles, and varying environmental conditions.
Tanzila Arafin+5 more
wiley +1 more source
Comparison study of EMG signals compression by methods transform using vector quantization, SPIHT and arithmetic coding. [PDF]
Ntsama EP, Colince W, Ele P.
europepmc +1 more source
Multiple stage vector quantization using competitive learning [PDF]
B.E. Watkins, M. Tummala
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AI‐Based Autonomous Sailboat Navigation: A Review
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina+6 more
wiley +1 more source