Kavli Affiliate: Scott K. Cushing | First 5 Authors: , , , , | Summary: Controlling the effects of photoexcited polarons in transition metal oxides can enable the long timescale charge separation necessary for renewable energy applications as well as controlling new quantum phases through dynamically tunable electron-phonon coupling. In previously studied transition metal oxides, […]

Kavli Affiliate: Oskar Painter | First 5 Authors: Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson | Summary: Dissipative cat qubits are a promising physical platform for quantum computing, since their large noise bias can enable more hardware-efficient quantum error correction. In this work we theoretically study the long-term prospects […]

Kavli Affiliate: Alireza Marandi | First 5 Authors: Elina Sendonaris, James Williams, Rajveer Nehra, Robert Gray, Ryoto Sekine | Summary: Integrated photonic quantum information processing (QIP) has advanced rapidly due to progress in various nanophotonic platforms. Single photon detectors have been the subject of intense study due to their ubiquity in QIP systems, yet many […]

Kavli Affiliate: Alireza Marandi | First 5 Authors: Elina Sendonaris, James Williams, Rajveer Nehra, Robert Gray, Ryoto Sekine | Summary: Integrated photonic quantum information processing (QIP) has advanced rapidly due to progress in various nanophotonic platforms. Single photon detectors have been the subject of intense study due to their ubiquity in QIP systems, yet many […]

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Guoqing Liu, Wei Gao, Thomas H. Li, | Summary: The acquisition of inductive bias through point-level contrastive learning holds paramount significance in point cloud pre-training. However, the square growth in computational requirements with the scale of the point cloud poses a substantial impediment to the […]

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao | Summary: Recent advancements in large language models (LLMs) have extended their capabilities to handle long contexts. However, increasing the number of model layers and the length of input sequences significantly escalates the memory required to store […]

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang | Summary: Scaling language models to handle longer contexts introduces substantial memory challenges due to the growing cost of key-value (KV) caches. Motivated by the efficiency gains of hybrid models and the broad availability of pretrained large […]

Kavli Affiliate: Andrei Faraon | First 5 Authors: Amir Arbabi, Andrei Faraon, , , | Summary: It was recently claimed1 that reported focusing efficiency values of high numerical aperture metalenses are inconsistent with a theoretical bound, and their measurement results are incorrectly interpreted. We review the article and conclude that these claims are not well […]

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Wei Gao, Shan Liu, Ge Li, | Summary: Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervision signals. In response to this challenge, we introduce a novel perspective that imparts auxiliary constraints […]

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Wei Gao, Shan Liu, Ge Li, | Summary: Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervision signals. In response to this challenge, we introduce a novel perspective that imparts auxiliary constraints […]