Kavli Affiliate: Stephanie Wehner | First 5 Authors: Bethany Davies, Álvaro G. Iñesta, Stephanie Wehner, , | Summary: Quantum networks crucially rely on the availability of high-quality entangled pairs of qubits, known as entangled links, distributed across distant nodes. Maintaining the quality of these links is a challenging task due to the presence of time-dependent […]
Kavli Affiliate: Stephanie Wehner | First 5 Authors: Bethany Davies, Álvaro G. Iñesta, Stephanie Wehner, , | Summary: Quantum networks crucially rely on the availability of high-quality entangled pairs of qubits, known as entangled links, distributed across distant nodes. Maintaining the quality of these links is a challenging task due to the presence of time-dependent […]
Kavli Affiliate: Morteza Gharib | First 5 Authors: Eric Sihite, Alireza Ramezani, Morteza Gharib, , | Summary: Robot designs can take many inspirations from nature, where there are many examples of highly resilient and fault-tolerant locomotion strategies to navigate complex terrains by using multi-functional appendages. For example, Chukar and Hoatzin birds can repurpose their wings […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Marc Vila, Joel E. Moore, , , | Summary: The interconversion between charge and spin degrees of freedom is of both fundamental and technological relevance in spintronics. While a non-equilibrium spin density and a charge current are related by the well known Rashba-Edelstein effect, here we […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yifan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. […]
Kavli Affiliate: Wei Gao | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. To address this problem, a […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yifan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song | Summary: To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity. […]
Kavli Affiliate: Ronald Hanson | First 5 Authors: Yanik Herrmann, Julius Fischer, Julia M. Brevoord, Colin Sauerzapf, Leonardo G. C. Wienhoven | Summary: Efficient coupling of optically active qubits to optical cavities is a key challenge for solid-state-based quantum optics experiments and future quantum technologies. Here we present a quantum photonic interface based on a […]
Kavli Affiliate: Ronald Hanson | First 5 Authors: Yanik Herrmann, Julius Fischer, Julia M. Brevoord, Colin Sauerzapf, Leonardo G. C. Wienhoven | Summary: Efficient coupling of optically active qubits to optical cavities is a key challenge for solid-state-based quantum optics experiments and future quantum technologies. Here we present a quantum photonic interface based on a […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Masayoshi Tomizuka, Hui Li, , | Summary: Contact-rich manipulation tasks often exhibit a large sim-to-real gap. For instance, industrial assembly tasks frequently involve tight insertions where the clearance is less than (0.1) mm and can even be negative when dealing with a deformable receptacle. This […]