Kavli Affiliate: Andrea D. Caviglia | First 5 Authors: Giacomo Sala, Maria Teresa Mercaldo, Klevis Domi, Stefano Gariglio, Mario Cuoco | Summary: Quantum materials are characterized by electromagnetic responses intrinsically linked to the geometry and topology of the electronic wavefunctions. These properties are encoded in the quantum metric and Berry curvature. While Berry curvature-mediated transport […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: R. P. Day, K. Yamakawa, L. Pritchard Cairns, J. Singleton, Monica Allen | Summary: We report on the thermodynamic and transport properties of the rare-earth Zintl compound Eu$_5$Sn$_2$As$_6$, which orders as a canted antiferromagnetic magnetic semiconductor at 10.3~K. The system also displays a complex cascade of […]
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, […]
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 […]
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 […]
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 […]
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 […]
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 […]
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. […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Chun-Xiao Liu, Sebastian Miles, Alberto Bordin, Sebastiaan L. D. ten Haaf, Grzegorz P. Mazur | Summary: Quantum dot-superconductor arrays have emerged as a new and promising material platform for realizing topological Kitaev chains. So far, experiments have implemented a two-site chain with limited protection. Here we propose […]