Zobrazeno 1 - 10
of 524
pro vyhledávání: '"Patel, Sahil"'
Autor:
Peña, Cristián, Wang, Christina, Xie, Si, Bornheim, Adolf, Barría, Matías, Martín, Claudio San, Vega, Valentina, Apresyan, Artur, Knehr, Emanuel, Korzh, Boris, Narváez, Lautaro, Patel, Sahil, Shaw, Matthew, Spiropulu, Maria
We present the first detailed study of an 8-channel $2\times2$ mm$^{2}$ WSi superconducting microwire single photon detector (SMSPD) array exposed to 120 GeV proton beam and 8 GeV electron and pion beam at the Fermilab Test Beam Facility. The SMSPD d
Externí odkaz:
http://arxiv.org/abs/2410.00251
Autor:
Castro, Joshua E., Nolasco-Martinez, Eber, Pintus, Paolo, Zhang, Zeyu, Shen, Boqiang, Morin, Theodore, Thiel, Lillian, Steiner, Trevor J., Lewis, Nicholas, Patel, Sahil D., Bowers, John E., Weld, David M., Moody, Galan
In the last decade, remarkable advances in integrated photonic technologies have enabled table-top experiments and instrumentation to be scaled down to compact chips with significant reduction in size, weight, power consumption, and cost. Here, we de
Externí odkaz:
http://arxiv.org/abs/2407.15438
Autor:
Sypkens, Sasha, Minutolo, Lorenzo, Patel, Sahil, Knehr, Emanuel, Walter, Alexander B., Leduc, Henry G., Narváez, Lautaro, Chamberlin, Ralph, Jamison-Hooks, Tracee, Shaw, Matthew D., Day, Peter K., Korzh, Boris
This work culminates in a demonstration of an alternative Frequency Domain Multiplexing (FDM) scheme for Superconducting Nanowire Single-Photon Detectors (SNSPDs) using the Kinetic inductance Parametric UP-converter (KPUP) made out of NbTiN. There ar
Externí odkaz:
http://arxiv.org/abs/2401.17454
Autor:
Patel, Sahil, Karapetyan, Daniel
The Conditional Markov Chain Search (CMCS) is a framework for automated design of metaheuristics for discrete combinatorial optimisation problems. Given a set of algorithmic components such as hill climbers and mutations, CMCS decides in which order
Externí odkaz:
http://arxiv.org/abs/2402.00076
Autor:
Patel, Sahil R., Colangelo, Marco, Beyer, Andrew D., Taylor, Gregor G., Allmaras, Jason P., Wollman, Emma E., Shaw, Matthew D., Berggren, Karl K., Korzh, Boris
Superconducting nanowire single-photon detectors (SNSPDs) with high timing resolution and low background counts in the mid infrared (MIR) have the potential to open up numerous opportunities in fields such as exoplanet searches, direct dark matter de
Externí odkaz:
http://arxiv.org/abs/2401.15764
Autor:
Law, Ka Ming, Thind, Arashdeep S., Pendharkar, Mihir, Patel, Sahil J., Phillips, Joshua J., Palmstrom, Chris J., Gazquez, Jaume, Borisevich, Albina, Mishra, Rohan, Hauser, Adam J.
We report the formation of Mn-rich regions at the interface of Co2FexMn1-xSi thin films grown on GaAs substrates by molecular beam epitaxy (MBE). Scanning transmission electron microscopy (STEM) with electron energy loss (EEL) spectrum imaging reveal
Externí odkaz:
http://arxiv.org/abs/2312.15562
Autor:
Taylor, Gregor G., Walter, Alexander B., Korzh, Boris, Bumble, Bruce, Patel, Sahil R., Allmaras, Jason P., Beyer, Andrew D., O'Brient, Roger, Shaw, Matthew D., Wollman, Emma E.
We report on the extension of the spectral sensitivity of superconducting nanowire single-photon detectors to a wavelength of 29 $\mu$m. This represents the first demonstration of a time correlated single-photon counting detector at these long infrar
Externí odkaz:
http://arxiv.org/abs/2308.15631
Autor:
Patel, Sahil M.1 patelsahil4769@gmail.com, Patel, Vashistha M.1, Patel, Shreya V.1, Patel, Samarth M.2, Pacheco, Lauren L.1
Publikováno v:
American Journal of Case Reports. 10/28/2024, Vol. 25, p1-4. 4p.
Autor:
Patel, Sahil D., Parto, Kamyar, Choquer, Michael, Umezawa, Sammy, Hellman, Landon, Polishchuk, Daniella, Moody, Galan
Surface acoustic waves (SAWs) are a versatile tool for coherently interfacing with a variety of solid-state quantum systems spanning microwave to optical frequencies, including superconducting qubits, spins, and quantum emitters. Here, we demonstrate
Externí odkaz:
http://arxiv.org/abs/2211.15811
Deep learning networks have demonstrated high performance in a large variety of applications, such as image classification, speech recognition, and natural language processing. However, there exists a major vulnerability exploited by the use of adver
Externí odkaz:
http://arxiv.org/abs/2208.01844