Zobrazeno 1 - 10
of 9 175
pro vyhledávání: '"KUMAR, SANTOSH"'
Publikováno v:
Opt. Lett. 49, 5419-5422 (2024)
Spatial-mode projective measurements could achieve super-resolution in remote sensing and imaging, yet their performance is usually sensitive to the parameters of the target scenes. We propose and demonstrate a robust classifier of close-by light sou
Externí odkaz:
http://arxiv.org/abs/2411.00953
Autor:
Du, Yifan, Sua, Yong Meng, Kumar, Santosh, Zhang, Jiuyi, Li, Xiangzhi, Hu, Yongxiang, Ghuman, Parminder, Huang, Yuping
We demonstrate a chip-integrated emission spectroscope capable of retrieving the temperature of the light sources. It consists of a single photon detector with low dark counts and a sweeping on-chip filter with 2 pm spectral resolution in the visible
Externí odkaz:
http://arxiv.org/abs/2410.23966
Quantum techniques are expected to revolutionize how information is acquired, exchanged, and processed. Yet it has been a challenge to realize and measure their values in practical settings. We present first photon machine learning as a new paradigm
Externí odkaz:
http://arxiv.org/abs/2410.17471
The Hellinger distance between quantum states is a significant measure in quantum information theory, known for its Riemannian and monotonic properties. It is also easier to compute than the Bures distance, another measure that shares these propertie
Externí odkaz:
http://arxiv.org/abs/2409.14560
Discerning chaos in quantum systems is an important problem as the usual route of Lyapunov exponents in classical systems is not straightforward in quantum systems. A standard route is the comparison of statistics derived from model physical systems
Externí odkaz:
http://arxiv.org/abs/2408.04345
Autor:
Sen, Sunidhi, Kumar, Santosh
The dissipative spectral form factor (DSFF) has recently emerged as a diagnostic tool for assessing non-integrability or chaos in non-Hermitian systems. It extends the concept of the spectral form factor (SFF), a widely used measure for similar inves
Externí odkaz:
http://arxiv.org/abs/2407.17148
Autor:
Wei, Hui, Xu, Maxwell A., Samplawski, Colin, Rehg, James M., Kumar, Santosh, Marlin, Benjamin M.
Wearable sensors enable health researchers to continuously collect data pertaining to the physiological state of individuals in real-world settings. However, such data can be subject to extensive missingness due to a complex combination of factors. I
Externí odkaz:
http://arxiv.org/abs/2406.18848
Autor:
Fatima, Munaza, Kumar, Santosh, Hussain, Mudassar, Memon, Naveed Masood, Vighio, Anum, Syed, Muhammad Asif, Chaudhry, Ambreen, Hussain, Zakir, Baig, Zeeshan Iqbal, Baig, Mirza Amir, Asghar, Rana Jawad, Ikram, Aamer, Khader, Yousef
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 5, p e27268 (2021)
BackgroundHyderabad, Pakistan, was the first city to witness an outbreak of extensively drug resistant (XDR) typhoid fever. The outbreak strain is resistant to ampicillin, chloramphenicol, trimethoprim-sulfamethoxazole, fluoroquinolones, and third-ge
Externí odkaz:
https://doaj.org/article/18916fbacece46e7a85b73d4d4d5e90e
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 6, p e17347 (2020)
BackgroundDental disease (including dental caries and periodontal disease) is largely preventable and closely linked to inadequate oral health behaviors. Digital health technologies have great potential for unobtrusively monitoring brushing behaviors
Externí odkaz:
https://doaj.org/article/95fcaf596d614c58b195a0a50240ec0a
Autor:
Forrester, Peter J., Kumar, Santosh
We consider the problem of the exact computation of the marginal eigenvalue distributions in the Laguerre and Jacobi $\beta$ ensembles. In the case $\beta=1$ this is a question of long standing in the mathematical statistics literature. A recursive p
Externí odkaz:
http://arxiv.org/abs/2402.16069