Zobrazeno 1 - 10
of 5 015
pro vyhledávání: '"Jaÿ, M."'
Autor:
Santos-Fernandez, Edgar, Hoef, Jay M. Ver, Peterson, Erin E., McGree, James, Villa, Cesar A., Leigh, Catherine, Turner, Ryan, Roberts, Cameron, Mengersen, Kerrie
The use of in-situ digital sensors for water quality monitoring is becoming increasingly common worldwide. While these sensors provide near real-time data for science, the data are prone to technical anomalies that can undermine the trustworthiness o
Externí odkaz:
http://arxiv.org/abs/2409.07667
Autor:
Javadi-Abhari, Ali, Treinish, Matthew, Krsulich, Kevin, Wood, Christopher J., Lishman, Jake, Gacon, Julien, Martiel, Simon, Nation, Paul D., Bishop, Lev S., Cross, Andrew W., Johnson, Blake R., Gambetta, Jay M.
We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components. We demonstrate an end-to-end workflow
Externí odkaz:
http://arxiv.org/abs/2405.08810
Autor:
Scholten, Travis L., Williams, Carl J., Moody, Dustin, Mosca, Michele, Hurley, William, Zeng, William J., Troyer, Matthias, Gambetta, Jay M.
Quantum computing is an emerging technology with potentially far-reaching implications for national prosperity and security. Understanding the timeframes over which economic benefits and national security risks may manifest themselves is vital for en
Externí odkaz:
http://arxiv.org/abs/2401.16317
Autor:
Gu, Hanxue, Colglazier, Roy, Dong, Haoyu, Zhang, Jikai, Chen, Yaqian, Yildiz, Zafer, Chen, Yuwen, Li, Lin, Yang, Jichen, Willhite, Jay, Meyer, Alex M., Guo, Brian, Shah, Yashvi Atul, Luo, Emily, Rajput, Shipra, Kuehn, Sally, Bulleit, Clark, Wu, Kevin A., Lee, Jisoo, Ramirez, Brandon, Lu, Darui, Levin, Jay M., Mazurowski, Maciej A.
Magnetic Resonance Imaging (MRI) is pivotal in radiology, offering non-invasive and high-quality insights into the human body. Precise segmentation of MRIs into different organs and tissues would be highly beneficial since it would allow for a higher
Externí odkaz:
http://arxiv.org/abs/2401.12974
Autor:
MacLaurin, James, Newby, Jay M.
A collection of identical and independent rare event first passage times is considered. The problem of finding the fastest out of $N$ such events to occur is called an extreme first passage time. The rare event times are singular and limit to infinit
Externí odkaz:
http://arxiv.org/abs/2309.01827
Autor:
Bravyi, Sergey, Cross, Andrew W., Gambetta, Jay M., Maslov, Dmitri, Rall, Patrick, Yoder, Theodore J.
Publikováno v:
Nature 627, 778-782 (2024)
Quantum error correction becomes a practical possibility only if the physical error rate is below a threshold value that depends on a particular quantum code, syndrome measurement circuit, and decoding algorithm. Here we present an end-to-end quantum
Externí odkaz:
http://arxiv.org/abs/2308.07915
Autor:
Dickey, John M., Vrtilek, S. D., McCollough, Michael, Boroson, Bram, Tomsick, John A., Bailyn, Charles, Blanchard, Jay M., Johnson, Charlotte
The rapid variability of X-ray binaries produces a wide range of X-ray states that are linked to activity across the electromagnetic spectrum. It is particularly challenging to study a sample of sources large enough to include all types in their vari
Externí odkaz:
http://arxiv.org/abs/2306.16663
We consider four main goals when fitting spatial linear models: 1) estimating covariance parameters, 2) estimating fixed effects, 3) kriging (making point predictions), and 4) block-kriging (predicting the average value over a region). Each of these
Externí odkaz:
http://arxiv.org/abs/2305.07811
Autor:
Hoef, Jay M. Ver, Blagg, Eryn, Dumelle, Michael, Dixon, Philip M., Zimmerman, Dale L., Conn, Paul
Publikováno v:
Environmetrics, 2024, e2872
Using a hierarchical construction, we develop methods for a wide and flexible class of models by taking a fully parametric approach to generalized linear mixed models with complex covariance dependence. The Laplace approximation is used to marginally
Externí odkaz:
http://arxiv.org/abs/2305.02978
Autor:
Berg, Ewout van den, Bravyi, Sergey, Gambetta, Jay M., Jurcevic, Petar, Maslov, Dmitri, Temme, Kristan
Publikováno v:
Phys. Rev. Research 5, 033193 (2023)
Generating samples from the output distribution of a quantum circuit is a ubiquitous task used as a building block of many quantum algorithms. Here we show how to accomplish this task on a noisy quantum processor lacking full-blown error correction f
Externí odkaz:
http://arxiv.org/abs/2212.03937