Zobrazeno 1 - 10
of 119 513
pro vyhledávání: '"James, S A"'
Autor:
Cummins, James S., Berloff, Natalia G.
This paper presents the Complex Vector Gain-Based Annealer (CoVeGA), an analog computing platform designed to overcome energy barriers in XY Hamiltonians through a higher-dimensional representation. Traditional gain-based solvers utilizing optical or
Externí odkaz:
http://arxiv.org/abs/2411.02010
Autor:
Dong, Siyuan, Cai, Zhuotong, Hangel, Gilbert, Bogner, Wolfgang, Widhalm, Georg, Huang, Yaqing, Liang, Qinghao, You, Chenyu, Kumaragamage, Chathura, Fulbright, Robert K., Mahajan, Amit, Karbasi, Amin, Onofrey, John A., de Graaf, Robin A., Duncan, James S.
Publikováno v:
Medical Image Analysis (2024): 103358
Magnetic Resonance Spectroscopic Imaging (MRSI) is a non-invasive imaging technique for studying metabolism and has become a crucial tool for understanding neurological diseases, cancers and diabetes. High spatial resolution MRSI is needed to charact
Externí odkaz:
http://arxiv.org/abs/2410.19288
Autor:
George, Hubert C., Mądzik, Mateusz T., Henry, Eric M., Wagner, Andrew J., Islam, Mohammad M., Borjans, Felix, Connors, Elliot J., Corrigan, Joelle, Curry, Matthew, Harper, Michael K., Keith, Daniel, Lampert, Lester, Luthi, Florian, Mohiyaddin, Fahd A., Murcia, Sandra, Nair, Rohit, Nahm, Rambert, Nethwewala, Aditi, Neyens, Samuel, Raharjo, Roy D., Rogan, Carly, Savytskyy, Rostyslav, Watson, Thomas F., Ziegler, Josh, Zietz, Otto K., Pillarisetty, Ravi, Bishop, Nathaniel C., Bojarski, Stephanie A., Roberts, Jeanette, Clarke, James S.
Intels efforts to build a practical quantum computer are focused on developing a scalable spin-qubit platform leveraging industrial high-volume semiconductor manufacturing expertise and 300 mm fabrication infrastructure. Here, we provide an overview
Externí odkaz:
http://arxiv.org/abs/2410.16583
Autor:
Chapman, Christopher C., Monselesan, Didier P., Risbey, James S., Hannachi, Abdelwaheb, Lucarini, Valerio, Matear, Richard
We study the hemispheric to continental scale regimes that lead to summertime heatwaves in the Northern Hemisphere. By using a powerful data mining methodology - archetype analysis - we identify characteristic spatial patterns consisting of a blockin
Externí odkaz:
http://arxiv.org/abs/2410.12179
Autor:
Veraldi, Daniele, Pierangeli, Davide, Gentilini, Silvia, Strinati, Marcello Calvanese, Sakellariou, Jason, Cummins, James S., Kamaletdinov, Airat, Syed, Marvin, Wang, Richard Zhipeng, Berloff, Natalia G., Karanikolopoulos, Dimitrios, Savvidis, Pavlos G., Conti, Claudio
Ising machines are an emerging class of hardware that promises ultrafast and energy-efficient solutions to NP-hard combinatorial optimization problems. Spatial photonic Ising machines (SPIMs) exploit optical computing in free space to accelerate the
Externí odkaz:
http://arxiv.org/abs/2410.10689
Autor:
Wheaton, James S., Herber, Daniel R.
Traditional requirements engineering tools do not readily access the SysML-defined system architecture model, often resulting in ad-hoc duplication of model elements that lacks the connectivity and expressive detail possible in a SysML-defined model.
Externí odkaz:
http://arxiv.org/abs/2410.21288
Autor:
Trost, Andrea, Bolton, James S., Caputo, Andrea, Liu, Hongwan, Cristiani, Stefano, Viel, Matteo
The ultralight dark photon is a well-motivated, hypothetical dark matter candidate. In a dilute plasma, they can resonantly convert into photons, and heat up the intergalactic medium between galaxies. In this work, we explore the dark photon dark mat
Externí odkaz:
http://arxiv.org/abs/2410.02858
Autor:
Shapley, Alice E., Sanders, Ryan L., Topping, Michael W., Reddy, Naveen A., Pahl, Anthony J., Oesch, Pascal A., Berg, Danielle A., Bouwens, Rychard J., Brammer, Gabriel, Carnall, Adam C., Cullen, Fergus, Davé, Romeel, Dunlop, James S., Ellis, Richard S., Schreiber, N. M. Förster, Furlanetto, Steven R ., Glazebrook, Karl, Illingworth, Garth D., Jones, Tucker, Kriek, Mariska, McLeod, Derek J., McLure, Ross J., Narayanan, Desika, Pettini, Max, Schaerer, Daniel, Stark, Daniel P., Steidel, Charles C., Tang, Mengtao, Clarke, Leonardo, Donnan, Callum T., Kehoe, Emily
We present the properties of a massive, large, dusty, metal-rich, star-forming galaxy at z_spec=6.73. GOODSN-100182 was observed with JWST/NIRSpec as part of the AURORA survey, and is also covered by public multi-wavelength HST and JWST imaging. Whil
Externí odkaz:
http://arxiv.org/abs/2410.00110
Autor:
Asthana, Shikhar, Haehnelt, Martin G., Kulkarni, Girish, Bolton, James S., Gaikwad, Prakash, Keating, Laura C., Puchwein, Ewald
The relative contribution of emission from stellar sources and accretion onto supermassive black holes to reionization has been brought into focus again by the apparent high abundance of faint AGN at $4\lesssim z\lesssim11$ uncovered by JWST. We inve
Externí odkaz:
http://arxiv.org/abs/2409.15453
Autor:
Rizzo, Charles P., Plank, James S.
DBSCAN is an algorithm that performs clustering in the presence of noise. In this paper, we provide two constructions that allow DBSCAN to be implemented neuromorphically, using spiking neural networks. The first construction is termed "flat," result
Externí odkaz:
http://arxiv.org/abs/2409.14298