Zobrazeno 1 - 10
of 659
pro vyhledávání: '"He, Kevin"'
Autor:
Oriani, Andrew E., Zhao, Fang, Roy, Tanay, Anferov, Alexander, He, Kevin, Agrawal, Ankur, Banerjee, Riju, Chakram, Srivatsan, Schuster, David I.
Group-V materials such as niobium and tantalum have become popular choices for extending the performance of circuit quantum electrodynamics (cQED) platforms allowing for quantum processors and memories with reduced error rates and more modes. The com
Externí odkaz:
http://arxiv.org/abs/2403.00286
Autor:
He, Kevin, Yuan, Ming, Wong, Yat, Chakram, Srivatsan, Seif, Alireza, Jiang, Liang, Schuster, David I.
Advancements in quantum system lifetimes and control have enabled the creation of increasingly complex quantum states, such as those on multiple bosonic cavity modes. When characterizing these states, traditional tomography scales exponentially in bo
Externí odkaz:
http://arxiv.org/abs/2309.10145
Autor:
Hartman, Nicholas, He, Kevin
In applications where the study data are collected within cluster units (e.g., patients within transplant centers), it is often of interest to estimate and perform inference on the treatment effects of the cluster units. However, it is well-establish
Externí odkaz:
http://arxiv.org/abs/2305.06208
Autor:
Agrawal, Ankur, Dixit, Akash V., Roy, Tanay, Chakram, Srivatsan, He, Kevin, Naik, Ravi K., Schuster, David I., Chou, Aaron
Publikováno v:
Vol. 132, Iss. 14 5 April 2024
The manipulation of quantum states of light has resulted in significant advancements in both dark matter searches and gravitational wave detectors [1-4]. Current dark matter searches operating in the microwave frequency range use nearly quantum-limit
Externí odkaz:
http://arxiv.org/abs/2305.03700
We present an adaptation of direct collocation -- a trajectory optimization method commonly used in robotics and aerospace applications -- to quantum optimal control (QOC); we refer to this method as Pade Integrator COllocation (PICO). This approach
Externí odkaz:
http://arxiv.org/abs/2305.03261
Autor:
Wang, Di, Ye, Wen, Zhu, Ji, Xu, Gongjun, Tang, Weijing, Zawistowski, Matthew, Fritsche, Lars G., He, Kevin
Polygenic hazard score (PHS) models designed for European ancestry (EUR) individuals provide ample information regarding survival risk discrimination. Incorporating such information can improve the performance of risk discrimination in an internal sm
Externí odkaz:
http://arxiv.org/abs/2302.11123
Autor:
Li, Qinmengge, Patrick, Matthew T., Zhang, Haihan, Khunsriraksakul, Chachrit, Stuart, Philip E., Gudjonsson, Johann E., Nair, Rajan, Elder, James T., Liu, Dajiang J., Kang, Jian, Tsoi, Lam C., He, Kevin
Polygenic risk scores (PRS) have recently received much attention for genetics risk prediction. While successful for the Caucasian population, the PRS based on the minority population suffer from small sample sizes, high dimensionality and low signal
Externí odkaz:
http://arxiv.org/abs/2210.06025
Autor:
Dasaratha, Krishna, He, Kevin
We study learning on social media with an equilibrium model of users interacting with shared news stories. Rational users arrive sequentially, observe an original story (i.e., a private signal) and a sample of predecessors' stories in a news feed, an
Externí odkaz:
http://arxiv.org/abs/2210.01267
The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound impact on patients with end-stage renal disease relying on kidney dialysis to sustain their lives. Motivated by a request by the U.S. Centers for Medicare & Medicaid Services, ou
Externí odkaz:
http://arxiv.org/abs/2209.00181
Neural Network (Deep Learning) is a modern model in Artificial Intelligence and it has been exploited in Survival Analysis. Although several improvements have been shown by previous works, training an excellent deep learning model requires a huge amo
Externí odkaz:
http://arxiv.org/abs/2208.05100