Gate modulation of the hole singlet-triplet qubit frequency in germanium

Kavli Affiliate: Menno Veldhorst | First 5 Authors: John Rooney, Zhentao Luo, Lucas E. A. Stehouwer, Giordano Scappucci, Menno Veldhorst | Summary: Spin qubits in germanium gate-defined quantum dots have made considerable progress within the last few years, partially due to their strong spin-orbit coupling and site-dependent $g$-tensors. While this characteristic of the $g$-factors removes […]


Continue.. Gate modulation of the hole singlet-triplet qubit frequency in germanium

Persistent anisotropy of the spin cycloid in BiFeO3 through ferroelectric switching

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Peter Meisenheimer, Guy Moore, Shiyu Zhou, Hongrui Zhang, Xiaoxi Huang | Summary: A key challenge in antiferromagnetic spintronics is the control of spin configuration on nanometer scales applicable to solid-state technologies. Bismuth ferrite (BiFeO3) is a multiferroic material that exhibits both ferroelectricity and canted antiferromagnetism at […]


Continue.. Persistent anisotropy of the spin cycloid in BiFeO3 through ferroelectric switching

Entanglement buffering with two quantum memories

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 […]


Continue.. Entanglement buffering with two quantum memories

Entanglement buffering with two quantum memories

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 […]


Continue.. Entanglement buffering with two quantum memories

Entanglement buffering with two quantum memories

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 […]


Continue.. Entanglement buffering with two quantum memories

Entanglement buffering with two quantum memories

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 […]


Continue.. Entanglement buffering with two quantum memories

Dynamic modeling of wing-assisted inclined running with a morphing multi-modal robot

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 […]


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Converting Non-Equilibrium Charge Density into Spin Current

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 […]


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High-Resolution DOA Estimation via a Novel Tree Model-based Deep Neural Network

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. […]


Continue.. High-Resolution DOA Estimation via a Novel Tree Model-based Deep Neural Network

A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array

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 […]


Continue.. A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array