Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?

Kavli Affiliate: Bo Gu | First 5 Authors: Jiajie Li, Bo Gu, Shimin Gong, Zhou Su, Mohsen Guizani | Summary: Mobile crowdsensing (MCS) has emerged as a prominent trend across various domains. However, ensuring the quality of the sensing data submitted by mobile users (MUs) remains a complex and challenging problem. To address this challenge, […]


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Influence of mid-infrared Galactic bubble on surroundings: A case study on IRAS 16489-4431

Kavli Affiliate: Ke Wang | First 5 Authors: Ariful Hoque, Tapas Baug, Lokesh Dewangan, Ke Wang, Tie Liu | Summary: We studied the influence of a massive star on a mid-infrared bubble and its surrounding gas in the IRAS,16489-4431 star-forming region using multi-wavelength data. The {it Spitzer} mid-infrared band images revealed the shocked nature of […]


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GWnext 2024: Meeting Summary

Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]


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GWnext 2024: Meeting Summary

Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]


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Self-dispersion-managed adiabatic frequency conversion

Kavli Affiliate: Jeffrey Moses | First 5 Authors: Dylan Heberle, Noah Flemens, Connor Davis, Philippe Lassonde, Adrien Leblanc | Summary: Dispersion management of few-cycle pulses is crucial for ultrafast optics and photonics. Often, nontrivial dispersion is compensated using complex optical systems or minimized through careful design of waveguides. Here, we present dispersion-managed adiabatic frequency conversion […]


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Wigner’s Theorem for stabilizer states and quantum designs

Kavli Affiliate: David Gross | First 5 Authors: Valentin Obst, Arne Heimendahl, Tanmay Singal, David Gross, | Summary: We describe the symmetry group of the stabilizer polytope for any number $n$ of systems and any prime local dimension $d$. In the qubit case, the symmetry group coincides with the linear and anti-linear Clifford operations. In […]


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Wigner’s Theorem for stabilizer states and quantum designs

Kavli Affiliate: David Gross | First 5 Authors: Valentin Obst, Arne Heimendahl, Tanmay Singal, David Gross, | Summary: We describe the symmetry group of the stabilizer polytope for any number $n$ of systems and any prime local dimension $d$. In the qubit case, the symmetry group coincides with the linear and anti-linear Clifford operations. In […]


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Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]


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Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]


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Survival of the Fittest Representation: A Case Study with Modular Addition

Kavli Affiliate: Max Tegmark | First 5 Authors: Xiaoman Delores Ding, Zifan Carl Guo, Eric J. Michaud, Ziming Liu, Max Tegmark | Summary: When a neural network can learn multiple distinct algorithms to solve a task, how does it "choose" between them during training? To approach this question, we take inspiration from ecology: when multiple […]


Continue.. Survival of the Fittest Representation: A Case Study with Modular Addition