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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Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations

Kavli Affiliate: Lihong Wang | First 5 Authors: Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning | Summary: Event extraction is a fundamental task for natural language processing. Finding the roles of event arguments like event participants is essential for event extraction. However, doing so for real-life event descriptions is challenging because an […]


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Tuning acoustic impedance in load-bearing structures

Kavli Affiliate: Chiara Daraio | First 5 Authors: Sai Sharan Injeti, Paolo Celli, Kaushik Bhattacharya, Chiara Daraio, | Summary: Acoustic transparency is the capability of a medium to transmit mechanical waves to adjacent media, without scattering. This characteristic can be achieved by carefully engineering the acoustic impedance of the medium — a combination of wave […]


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Quasiballistic electron transport in cryogenic SiGe HBTs studied using an exact, semi-analytic solution to the Boltzmann equation

Kavli Affiliate: Austin J. Minnich | First 5 Authors: Nachiket R. Naik, Austin J. Minnich, , , | Summary: Silicon-germanium heterojunction bipolar transistors (HBTs) are of interest as low-noise microwave amplifiers due to their competitive noise performance and low cost relative to III-V devices. The fundamental noise performance limits of HBTs are thus of interest, […]


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Element-specific electronic and structural dynamics using transient X-ray spectroscopy

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Hanzhe Liu, Isabel M. Klein, Jonathan M. Michelsen, Scott K. Cushing, | Summary: Transient X-ray absorption techniques can measure ultrafast dynamics of the elemental edges in a material or multiple layer junction, giving them immense potential for deconvoluting concurrent processes. However, the interpretation of the photoexcited […]


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