Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design

Kavli Affiliate: Chiara Daraio | First 5 Authors: Liwei Wang, Jagannadh Boddapati, Ke Liu, Ping Zhu, Chiara Daraio | Summary: Mechanical cloaks are materials engineered to manipulate the elastic response around objects to make them indistinguishable from their homogeneous surroundings. Typically, methods based on material-parameter transformations are used to design optical, thermal and electric cloaks. […]


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Strong Negative Electrothermal Feedback in Thermal Kinetic Inductance Detectors

Kavli Affiliate: James J. Bock | First 5 Authors: Shubh Agrawal, Bryan Steinbach, James J. Bock, Clifford Frez, Lorenzo Minutolo | Summary: We demonstrate strong negative electrothermal feedback accelerating and linearizing the response of a thermal kinetic inductance detector (TKID). TKIDs are a proposed highly multiplexable replacement to transition-edge sensors and measure power through the […]


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Femtojoule, femtosecond all-optical switching in lithium niobate nanophotonics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Qiushi Guo, Ryoto Sekine, Luis Ledezma, Rajveer Nehra, Devin J. Dean | Summary: Optical nonlinear functions are crucial for various applications in integrated photonics, such as all-optical information processing, photonic neural networks and on-chip ultrafast light sources. Due to the weak nonlinearities in most integrated photonic platforms, […]


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Constraining continuous topology optimizations to discrete solutions for photonic applications

Kavli Affiliate: Andrei Faraon | First 5 Authors: Conner Ballew, Gregory Roberts, Tianzhe Zheng, Andrei Faraon, | Summary: Photonic topology optimization is a technique used to find the electric permittivity distribution of a device that optimizes an electromagnetic figure-of-merit. Two common techniques are used: continuous density-based optimizations that optimize a grey-scale permittivity defined over a […]


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Colored Kerr cat qubits

Kavli Affiliate: Oskar Painter | First 5 Authors: Harald Putterman, Joseph Iverson, Qian Xu, Liang Jiang, Oskar Painter | Summary: Biased-noise qubits are a promising candidate for realizing hardware efficient fault-tolerant quantum computing. One promising biased-noise qubit is the Kerr cat qubit, which has recently been demonstrated experimentally. Despite various unique advantages of Kerr cat […]


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Stabilizing a Bosonic Qubit using Colored Dissipation

Kavli Affiliate: Oskar Painter | First 5 Authors: Harald Putterman, Joseph Iverson, Qian Xu, Liang Jiang, Oskar Painter | Summary: Protected qubits such as the 0-$pi$ qubit, and bosonic qubits including cat qubits and GKP qubits offer advantages for fault-tolerance. Some of these protected qubits (e.g., 0-$pi$ qubit and Kerr cat qubit) are stabilized by […]


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Mid-Infrared Cross-Comb Spectroscopy

Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Charles R. Markus, Alireza Marandi | Summary: Dual-comb spectroscopy has been proven a powerful tool in molecular characterization, which remains challenging to implement in the mid-infrared (MIR) region due to difficulties in the realization of two mutually locked comb sources […]


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Rayleigh wave propagation in nonlinear metasurfaces

Kavli Affiliate: Chiara Daraio | First 5 Authors: Antonio Palermo, Behrooz Yousefzadeh, Chiara Daraio, Alessandro Marzani, | Summary: We investigate the propagation of Rayleigh waves in a half-space coupled to a nonlinear metasurface. The metasurface consists of an array of nonlinear oscillators attached to the free surface of a homogeneous substrate. We describe, analytically and […]


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A Compact Survey on Event Extraction: Approaches and Applications

Kavli Affiliate: Lihong Wang | First 5 Authors: Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu | Summary: Event extraction is a critical technique to apprehend the essential content of events promptly. With the rapid development of deep learning technology, event extraction technology based on deep learning has become a research hotspot. Numerous […]


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Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Kavli Affiliate: Wei Gao | First 5 Authors: Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao | Summary: Face recognition is greatly improved by deep convolutional neural networks (CNNs). Recently, these face recognition models have been used for identity authentication in security sensitive applications. However, deep CNNs are vulnerable to adversarial patches, which […]


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