Purcell enhancement and spin spectroscopy of silicon vacancy centers in silicon carbide using an ultra-small mode-volume plasmonic cavity

Posted by dbos Cornell

Kavli Affiliate: Gregory D. Fuchs | First 5 Authors: Jae-Pil So, Jialun Luo, Jaehong Choi, Brendan McCullian, Gregory D. Fuchs | Summary: Silicon vacancy (V$_{Si}$) centers in 4H-silicon carbide have emerged as a strong candidate for quantum networking applications due to their robust electronic and optical properties including a long spin coherence lifetime and bright, […]


Continue.. Purcell enhancement and spin spectroscopy of silicon vacancy centers in silicon carbide using an ultra-small mode-volume plasmonic cavity

PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Unmasking charge transfer in the Misfits: ARPES and ab initio prediction of electronic structure in layered incommensurate systems without artificial strain

Posted by dbos Cornell

Kavli Affiliate: Lena F. Kourkoutis | First 5 Authors: Drake Niedzielski, Brendan D. Faeth, Berit H. Goodge, Mekhola Sinha, Tyrel M. McQueen | Summary: Common belief is that the large band shifts observed in incommensurate misfit compounds, e.g. (LaSe)1.14(NbSe2)2, are due to interlayer charge transfer. In contrast, our analysis, based on both ARPES measurements and […]


Continue.. Unmasking charge transfer in the Misfits: ARPES and ab initio prediction of electronic structure in layered incommensurate systems without artificial strain

Qudit Dynamical Decoupling on a Superconducting Quantum Processor

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Vinay Tripathi, Noah Goss, Arian Vezvaee, Long B. Nguyen, Irfan Siddiqi | Summary: Multi-level qudit systems are increasingly being explored as alternatives to traditional qubit systems due to their denser information storage and processing potential. However, qudits are more susceptible to decoherence than qubits due to increased […]


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Protocol for scaling up a sign-ordered Kitaev chain without magnetic flux control

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, Sebastian Miles, Alberto Bordin, Sebastiaan L. D. ten Haaf, A. Mert Bozkurt | Summary: Quantum dot-superconductor arrays have emerged as a new and promising material platform for realizing Kitaev chains with Majorana zero modes. So far, experiments have implemented a two-site chain with limited protection. […]


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Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang | Summary: In the rapidly evolving field of natural language processing, dialogue systems primarily employ a single-step dialogue paradigm. Although this paradigm is efficient, it lacks the depth and fluidity of human interactions and does not appear […]


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IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Bo Ai, Joel Loo, Vinay, David Hsu | Summary: This work explores the challenges of creating a scalable and robust robot navigation system that can traverse both indoor and outdoor environments to reach distant goals. We propose a navigation system architecture called IntentionNet that employs […]


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Navigating Connected Car Cybersecurity: Location Anomaly Detection with RAN Data

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yaron Koral, Kenichi Futamura, , | Summary: The cybersecurity of connected cars, integral to the broader Internet of Things (IoT) landscape, has become of paramount concern. Cyber-attacks, including hijacking and spoofing, pose significant threats to these technological advancements, potentially leading to unauthorized control over vehicular […]


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