High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Posted by klaurent Caltech

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Bohan Li, Zhiquan Yuan, Warren Jin, Lue Wu, Joel Guo | Summary: By self-injection-locking a 1560 nm distributed feedback semiconductor laser to a high-$Q$ silicon nitride resonator, a high-coherence 780 nm second harmonic signal is generated via the photogalvanic-induced second-order nonlinearity. A record-low frequency noise floor […]


Continue.. High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Posted by klaurent Caltech

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Bohan Li, Zhiquan Yuan, Warren Jin, Lue Wu, Joel Guo | Summary: By self-injection-locking a 1560 nm distributed feedback semiconductor laser to a high-$Q$ silicon nitride resonator, a high-coherence 780 nm second harmonic signal is generated via the photogalvanic-induced second-order nonlinearity. A record-low frequency noise floor […]


Continue.. High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning has achieved great success in many sequential decision-making tasks, in which a neural agent is learned by imitating collected human demonstrations. However, existing algorithms typically require a large number of high-quality demonstrations that […]


Continue.. Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Problem specific classical optimization of Hamiltonian simulation

Posted by klaurent Berkeley

Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]


Continue.. Problem specific classical optimization of Hamiltonian simulation

Problem specific classical optimization of Hamiltonian simulation

Posted by dbos Berkeley

Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]


Continue.. Problem specific classical optimization of Hamiltonian simulation

Mode-locked laser in nanophotonic lithium niobate

Posted by klaurent Caltech

Kavli Affiliate: Alireza Marandi | First 5 Authors: Qiushi Guo, Ryoto Sekine, James A. Williams, Benjamin K. Gutierrez, Robert M. Gray | Summary: Mode-locked lasers (MLLs) have enabled ultrafast sciences and technologies by generating ultrashort pulses with peak powers substantially exceeding their average powers. Recently, tremendous efforts have been focused on realizing integrated MLLs not […]


Continue.. Mode-locked laser in nanophotonic lithium niobate

Effects of local incompressibility on the rheology of composite biopolymer networks

Posted by dbos Delft

Kavli Affiliate: Gijsje H. Koenderink | First 5 Authors: Anupama Gannavarapu, Sadjad Arzash, Iain Muntz, Jordan L. Shivers, Anna-Maria Klianeva | Summary: Fibrous networks such as collagen are common in biological systems. Recent theoretical and experimental efforts have shed light on the mechanics of single component networks. Most real biopolymer networks, however, are composites made […]


Continue.. Effects of local incompressibility on the rheology of composite biopolymer networks

Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor

Posted by klaurent Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: Prabudhya Bhattacharyya, Wuhao Chen, Xiaoli Huang, Shubhayu Chatterjee, Benchen Huang | Summary: By directly altering microscopic interactions, pressure provides a powerful tuning knob for the exploration of condensed phases and geophysical phenomena. The megabar regime represents an exciting frontier, where recent discoveries include novel high-temperature superconductors, […]


Continue.. Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset