Scaling Quantum Networks via Phase-Stable Vacuum Beam Guide: Architectural Blueprint and Benchmark

Posted by klaurent Caltech

Kavli Affiliate: Rana Adhikari | Summary:Scaling quantum networks to continental distances requires physical infrastructure capable of overcoming both exponential attenuation and severe phase decoherence. While the concept of the vacuum beam guide (VBG) has recently emerged as a promising low-loss solution, we move beyond it by proposing a stringent and conservative physical-layer architectural blueprint anchored […]


Continue.. Scaling Quantum Networks via Phase-Stable Vacuum Beam Guide: Architectural Blueprint and Benchmark

Scaling Quantum Networks via Phase-Stable Vacuum Beam Guide: Architectural Blueprint and Benchmark

Posted by klaurent Caltech

Kavli Affiliate: Rana Adhikari | Summary:Scaling quantum networks to continental distances requires physical infrastructure capable of overcoming both exponential attenuation and severe phase decoherence. While the concept of vacuum beam guide (VBG) has recently emerged as a promising low-loss solution, we move beyond it by proposing a rigorous physical-layer architectural blueprint anchored by empirical data […]


Continue.. Scaling Quantum Networks via Phase-Stable Vacuum Beam Guide: Architectural Blueprint and Benchmark

A Comprehensive Characterization of the Vacuum Beam Guide and Its Applications

Posted by klaurent Caltech

Kavli Affiliate: Rana Adhikari | Summary:The proposed vacuum beam guide (VBG) represents a transformative advance in quantum channel technology, guaranteeing an ultra-low level of attenuation and a broad transmission linewidth, which offers an unprecedented quantum capacity, exceeding Tera-qubits per second on a continental scale. However, the stability of the VBG in terms of interferometry remains […]


Continue.. A Comprehensive Characterization of the Vacuum Beam Guide and Its Applications

Frailty-Aware Transformer for Recurrent Survival Modeling of Driver Retention in Ride-Hailing Platforms

Posted by klaurent MIT

Kavli Affiliate: Eric Miller | Summary:Ride-hailing platforms are characterized by high-frequency, behavior-driven environments. Although survival analysis has been applied to recurrent events in other domains, its use in modeling ride-hailing driver behavior remains largely unexplored. This study formulates idle behavior as a recurrent survival process using large-scale platform data and proposes a Transformer-based framework that […]


Continue.. Frailty-Aware Transformer for Recurrent Survival Modeling of Driver Retention in Ride-Hailing Platforms

Molecular evolution of CO2-sensing ab1C neurons underlies divergent sensory responses in the Drosophila suzukii species group

Posted by dbos Rockefeller

Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Li Zhao | Authors: Alice Gadau, Sasha Mills, Xin Yu Zhu Jiang, Cong Li, Nicolas Svetec, Ziyu Xu, Wanhe Li, Katherine I Nagel and Li Zhao | Summary: Organisms evolve behavioral and morphological traits to adapt to their ecological niches, […]


Continue.. Molecular evolution of CO2-sensing ab1C neurons underlies divergent sensory responses in the Drosophila suzukii species group

Microseismic Noise Mitigation with Machine Learning for Advanced LIGO

Posted by klaurent MIT

Kavli Affiliate: Richard Mittleman | Summary:The unprecedented sensitivity of the Laser Interferometer Gravitational-Wave Observatory, which enables the detection of distant astrophysical sources, also renders the detectors highly susceptible to low-frequency ground motion. Persistent microseisms in the 0.1-0.3 Hz band couple into the instruments, degrade lock stability, and contribute substantially to detector downtime during observing runs. […]


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Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Posted by klaurent MIT

Kavli Affiliate: Kiyoshi Masui | Summary:We present the first detection of the cosmological 21 cm intensity mapping signal in auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Using 94 nights of observation, we have measured the 21 cm auto-power spectrum over a frequency range from 608.2 MHz to 707.8 MHz […]


Continue.. Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Posted by klaurent MIT

Kavli Affiliate: Kiyoshi Masui | Summary:We present the first detection of the cosmological 21 cm intensity mapping signal in auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Using 94 nights of observation, we have measured the 21 cm auto-power spectrum over a frequency range from 608.2 MHz to 707.8 MHz […]


Continue.. Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Topological BF Theory construction of twisted dihedral quantum double phases from spontaneous symmetry breaking

Posted by klaurent Berkeley

Kavli Affiliate: Joel Moore | Summary:Nonabelian topological orders host exotic anyons central to quantum computing, yet established realizations rely on case-by-case constructions that are often conceptually involved. In this work, we present a systematic construction of nonabelian dihedral quantum double phases based on a continuous $O(2)$ gauge field. We first formulate a topological $S[O(2)times O(2)]$ […]


Continue.. Topological BF Theory construction of twisted dihedral quantum double phases from spontaneous symmetry breaking

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Posted by klaurent Stanford

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Conditional diffusion models provide a natural framework for probabilistic prediction of dynamical systems and have been successfully applied to fluid dynamics and weather prediction. However, in many settings, the available information at a given time represents only a small fraction of what […]


Continue.. Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme