Zobrazeno 1 - 10
of 5 641
pro vyhledávání: '"Patel, P J"'
Imaging-based deep learning has transformed healthcare research, yet its clinical adoption remains limited due to challenges in comparing imaging models with traditional non-imaging and tabular data. To bridge this gap, we introduce Barttender, an in
Externí odkaz:
http://arxiv.org/abs/2411.12707
Identifying predictive features from high-dimensional datasets is a major task in biomedical research. However, it is difficult to determine the robustness of selected features. Here, we investigate the performance of randomly chosen features, what w
Externí odkaz:
http://arxiv.org/abs/2411.10574
The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) is one of the most advanced algorithms in numerical black-box optimization. For noisy objective functions, several approaches were proposed to mitigate the noise, e.g., re-evaluations of
Externí odkaz:
http://arxiv.org/abs/2409.16757
Autor:
Rahaman, Mohammad Habibur, Harper, Samuel, Lee, Chang-Min, Kim, Kyu-Young, Buyukkaya, Mustafa Atabey, Patel, Victor J., Hawkins, Samuel D., Kim, Je-Hyung, Addamane, Sadhvikas, Waks, Edo
Telecom C-band single photons exhibit the lowest attenuation in optical fibers, enabling long-haul quantum-secured communication. However, efficient coupling with optical fibers is crucial for these single photons to be effective carriers in long-dis
Externí odkaz:
http://arxiv.org/abs/2404.01562
Autor:
Patel, Yash J., Kundu, Akash, Ostaszewski, Mateusz, Bonet-Monroig, Xavier, Dunjko, Vedran, Danaci, Onur
The key challenge in the noisy intermediate-scale quantum era is finding useful circuits compatible with current device limitations. Variational quantum algorithms (VQAs) offer a potential solution by fixing the circuit architecture and optimizing in
Externí odkaz:
http://arxiv.org/abs/2402.03500
Autor:
Thosar, Aniket U., Cai, Yusheng, Marks, Sean M., Vicars, Zachariah, Choi, Jeongmoon, Pallath, Akash, Patel, Amish J.
Antifreeze proteins (AFPs) are remarkable biomolecules that suppress ice formation at trace concentrations. To inhibit ice growth, AFPs must not only bind to ice crystals, but also resist engulfment by ice. The highest supercooling, $\Delta T^{*}$, f
Externí odkaz:
http://arxiv.org/abs/2401.01271
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:
Kundu, Akash, Bedełek, Przemysław, Ostaszewski, Mateusz, Danaci, Onur, Patel, Yash J., Dunjko, Vedran, Miszczak, Jarosław A.
Publikováno v:
New Journal of Physics, 26, 013034 (2024)
The variational quantum algorithms are crucial for the application of NISQ computers. Such algorithms require short quantum circuits, which are more amenable to implementation on near-term hardware, and many such methods have been developed. One of p
Externí odkaz:
http://arxiv.org/abs/2306.11086
Publikováno v:
Journal of Stress Physiology & Biochemistry, Vol 20, Iss 3, Pp 12-18 (2024)
Background and Aim: Laboratory assessment of sialic acid as a marker of microvascular complications can be a diagnostic tool for diabetes mellitus. Microalbumin is an established predictor of diabetic nephropathy. The study was undertaken to evaluate
Externí odkaz:
https://doaj.org/article/8dabb98c9b374b2599e6a8096d140b23
Publikováno v:
EPJ Quantum Technol. 11, 6 (2024)
Variational quantum algorithms such as the Quantum Approximation Optimization Algorithm (QAOA) in recent years have gained popularity as they provide the hope of using NISQ devices to tackle hard combinatorial optimization problems. It is, however, k
Externí odkaz:
http://arxiv.org/abs/2207.06294