Speeding up entanglement generation by proximity to higher-order exceptional points

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Zeng-Zhao Li, Weijian Chen, Maryam Abbasi, Kater W. Murch, K. Birgitta Whaley | Summary: Entanglement is a key resource for quantum information technologies ranging from quantum sensing to quantum computing. Conventionally, the entanglement between two coupled qubits is established at the time scale of the inverse of […]


Continue.. Speeding up entanglement generation by proximity to higher-order exceptional points

Speeding up entanglement generation by proximity to higher-order exceptional points

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Zeng-Zhao Li, Weijian Chen, Maryam Abbasi, Kater W. Murch, K. Birgitta Whaley | Summary: Entanglement is a key resource for quantum information technologies ranging from quantum sensing to quantum computing. Conventionally, the entanglement between two coupled qubits is established at the time scale of the inverse of […]


Continue.. Speeding up entanglement generation by proximity to higher-order exceptional points

Learning to Decompose Visual Features with Latent Textual Prompts

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alexander G. Schwing | Summary: Recent advances in pre-training vision-language models like CLIP have shown great potential in learning transferable visual representations. Nonetheless, for downstream inference, CLIP-like models suffer from either 1) degraded accuracy and robustness in the case […]


Continue.. Learning to Decompose Visual Features with Latent Textual Prompts

A novel $sqrt{19}timessqrt{19}$ superstructure in epitaxially grown 1T-TaTe$_2$

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Jinwoong Hwang, Yeongrok Jin, Canxun Zhang, Tiancong Zhu, Kyoo Kim | Summary: The spontaneous formation of electronic orders is a crucial element for understanding complex quantum states and engineering heterostructures in two-dimensional materials. We report a novel $sqrt{19}timessqrt{19}$ charge order in few-layer thick 1T-TaTe$_2$ transition metal […]


Continue.. A novel $sqrt{19}timessqrt{19}$ superstructure in epitaxially grown 1T-TaTe$_2$

Charge transfer dynamics in MoSe$_{2}$/hBN/WSe$_{2}$ heterostructures

Kavli Affiliate: Feng Wang | First 5 Authors: Yoseob Yoon, Zuocheng Zhang, Kenji Watanabe, Takashi Taniguchi, Sefaattin Tongay | Summary: Ultrafast charge transfer processes provide a facile way to create interlayer excitons and to generate single-cycle THz pulses in directly contacted transition metal dichalcogenide (TMD) layers. More sophisticated heterostructures composed of TMD/hBN/TMD can enable new […]


Continue.. Charge transfer dynamics in MoSe$_{2}$/hBN/WSe$_{2}$ heterostructures

Multimodal Learning with Channel-Mixing and Masked Autoencoder on Facial Action Unit Detection

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Huiyuan Yang, Taoyue Wang, Xiaotian Li, Lijun Yin | Summary: Recent studies utilizing multi-modal data aimed at building a robust model for facial Action Unit (AU) detection. However, due to the heterogeneity of multi-modal data, multi-modal representation learning becomes one of the main challenges. On […]


Continue.. Multimodal Learning with Channel-Mixing and Masked Autoencoder on Facial Action Unit Detection

Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Huiyuan Yang, Taoyue Wang, Xiaotian Li, Lijun Yin | Summary: Recent studies have focused on utilizing multi-modal data to develop robust models for facial Action Unit (AU) detection. However, the heterogeneity of multi-modal data poses challenges in learning effective representations. One such challenge is extracting […]


Continue.. Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection

Nonequilibrium design strategies for functional colloidal assemblies

Kavli Affiliate: David T. Limmer | First 5 Authors: Avishek Das, David T. Limmer, , , | Summary: We use a nonequilibrium variational principle to optimize the steady-state, shear-induced interconversion of self-assembled nanoclusters of DNA-coated colloids. Employing this principle within a stochastic optimization algorithm allows us to discover design strategies for functional materials. We find […]


Continue.. Nonequilibrium design strategies for functional colloidal assemblies

Nonequilibrium design strategies for functional colloidal assemblies

Kavli Affiliate: David T. Limmer | First 5 Authors: Avishek Das, David T. Limmer, , , | Summary: We use a nonequilibrium variational principle to optimize the steady-state, shear-induced interconversion of self-assembled nanoclusters of DNA-coated colloids. Employing this principle within a stochastic optimization algorithm allows us to discover design strategies for functional materials. We find […]


Continue.. Nonequilibrium design strategies for functional colloidal assemblies

Revealing the order parameter dynamics of 1T-TiSe$_2$ following optical excitation

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Maximilian Huber, Yi Lin, Nicholas Dale, Renee Sailus, Sefaattin Tongay | Summary: The formation of a charge density wave state is characterized by an order parameter. The way it is established provides unique information on both the role that correlation plays in driving the charge density wave […]


Continue.. Revealing the order parameter dynamics of 1T-TiSe$_2$ following optical excitation