Zobrazeno 1 - 10
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pro vyhledávání: '"Naeini AS"'
We propose networking superconducting quantum circuits by transducing their excitations (typically 4-8 GHz) to 100-500 MHz photons for transmission via cryogenic coaxial cables. Counter-intuitively, this frequency downconversion reduces noise and tra
Externí odkaz:
http://arxiv.org/abs/2407.20943
Accurate assessment of myocardial tissue stiffness is pivotal for the diagnosis and prognosis of heart diseases. Left ventricular diastolic stiffness ($\beta$) obtained from the end-diastolic pressure-volume relationship (EDPVR) has conventionally be
Externí odkaz:
http://arxiv.org/abs/2407.15254
Photonic addressing of superconducting circuits has been proposed to overcome wiring complexity and heat load challenges, but superconducting-photonic links suffer from an efficiency-noise trade-off that limits scalability. This trade-off arises beca
Externí odkaz:
http://arxiv.org/abs/2406.14501
Autor:
Mayor, Felix M., Malik, Sultan, Primo, André G., Gyger, Samuel, Jiang, Wentao, Alegre, Thiago P. M., Safavi-Naeini, Amir H.
Integrated optomechanical systems are one of the leading platforms for manipulating, sensing, and distributing quantum information. The temperature increase due to residual optical absorption sets the ultimate limit on performance for these applicati
Externí odkaz:
http://arxiv.org/abs/2406.14484
Cancer clinics capture disease data at various scales, from genetic to organ level. Current bioinformatic methods struggle to handle the heterogeneous nature of this data, especially with missing modalities. We propose PARADIGM, a Graph Neural Networ
Externí odkaz:
http://arxiv.org/abs/2406.08521
Autor:
Waqas, Asim, Tripathi, Aakash, Ahmed, Sabeen, Mukund, Ashwin, Farooq, Hamza, Schabath, Matthew B., Stewart, Paul, Naeini, Mia, Rasool, Ghulam
Multi-omics research has enhanced our understanding of cancer heterogeneity and progression. Investigating molecular data through multi-omics approaches is crucial for unraveling the complex biological mechanisms underlying cancer, thereby enabling e
Externí odkaz:
http://arxiv.org/abs/2405.08226
This study employs the Causal Machine Learning (CausalML) statistical method to analyze the influence of electricity pricing policies on carbon dioxide (CO2) levels in the household sector. Investigating the causality between potential outcomes and t
Externí odkaz:
http://arxiv.org/abs/2403.15499
Publikováno v:
IEEE Symposium on Security & Privacy (S&P) 2024
Recent years have seen a sharp increase in the number of underage users in virtual reality (VR), where security and privacy (S\&P) risks such as data surveillance and self-disclosure in social interaction have been increasingly prominent. Prior work
Externí odkaz:
http://arxiv.org/abs/2403.06172
Wafer-level testing is an important step for process and quality control of electronic chips in integrated circuit (IC) manufacturing which occurs before packaging. The process of wafer probing in its conventional contacting schemes, becomes more com
Externí odkaz:
http://arxiv.org/abs/2402.18421
Autor:
Chacon, Andrew, Rutherford, Harley, Hamato, Akram, Nitta, Munetaka, Nishikido, Fumihiko, Iwao, Yuma, Tashima, Hideaki, Yoshida, Eiji, Akamatsu, Go, Takyu, Sodai, Kang, Han Gyu, Franklin, Daniel R., Parodi, Katia, Yamaya, Taiga, Rosenfeld, Anatoly, Guatelli, Susanna, Safavi-Naeini, Mitra
Purpose: To compare the accuracy with which different hadronic inelastic physics models across ten Geant4 Monte Carlo simulation toolkit versions can predict positron-emitting fragments produced along the beam path during carbon and oxygen ion therap
Externí odkaz:
http://arxiv.org/abs/2402.03499