Active Loop Closure for OSM-guided Robotic Mapping in Large-Scale Urban Environments

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Zezhou Sun, Mingle Zhao, Cheng-Zhong Xu, Hui Kong | Summary: The autonomous mapping of large-scale urban scenes presents significant challenges for autonomous robots. To mitigate the challenges, global planning, such as utilizing prior GPS trajectories from OpenStreetMap (OSM), is often used to guide the autonomous […]


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All-optical Loss-tolerant Distributed Quantum Sensing

Kavli Affiliate: Alireza Marandi | First 5 Authors: Rajveer Nehra, Changhun Oh, Liang Jiang, Alireza Marandi, | Summary: Distributed quantum sensing (DQS) leverages quantum resources to estimate an unknown global property of a networked quantum sensor beyond the classical limit. We propose and analyze an all-optical resource-efficient scheme for the next-generation DQS systems. Our method […]


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0.7 MW Yb:YAG pumped degenerate optical parametric oscillator at 2.06 μm

Kavli Affiliate: Alireza Marandi | First 5 Authors: Anni Li, Mehran Bahri, Robert M. Gray, Seowon Choi, Sajjad Hoseinkhani | Summary: Frequency comb and field-resolved broadband absorption spectroscopy are promising techniques for rapid, precise, and sensitive detection of short-lived atmospheric pollutants on-site. Enhancing detection sensitivity in absorption spectroscopy hinges on bright sources that cover molecular […]


Continue.. 0.7 MW Yb:YAG pumped degenerate optical parametric oscillator at 2.06 μm

Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Wei Gao, Qi Zhang, Jiajia Liu, Feng Shu | Summary: In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel […]


Continue.. Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Feng Shu, Rongen Dong, Wei Gao, Qi Zhang | Summary: In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel […]


Continue.. Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Scalable microwave-to-optical transducers at single photon level with spins

Kavli Affiliate: Andrei Faraon | First 5 Authors: Tian Xie, Rikuto Fukumori, Jiahui Li, Andrei Faraon, | Summary: Microwave-to-optical transduction of single photons will play an essential role in interconnecting future superconducting quantum devices, with applications in distributed quantum computing and secure communications. Various transducers that couple microwave and optical modes via an optical drive […]


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Derivations of Bloch (Majorana–Bloch) equation, von Neumann equation, and Schrödinger–Pauli equation

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Lihong V. Wang, , , , | Summary: The transition from classical physics to quantum mechanics has been mysterious. Here, we derive the space-independent von Neumann equation for electron spin mathematically from the classical Bloch or Majorana–Bloch equation, which is also derived. Subsequently, the space-independent Schr"odinger–Pauli […]


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

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

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

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