Zobrazeno 1 - 10
of 7 577
pro vyhledávání: '"Patti P A"'
Autor:
Patti P A, Quellet M J
Publikováno v:
Revista Methodo, Vol 9 (2024)
INTRODUCCIÓN: La Fundación Banco de Alimentos de Córdoba (FBAC) tiene como objetivo el recupero de alimentos y así evitar el desperdicio de los mismos. Los alimentos recuperados son entregados a organizaciones sociales beneficiarias (OSB)1. En la
Externí odkaz:
https://doaj.org/article/63429d3551604656889fb333ab8af49c
Autor:
Chakraborty, Abhishek, Patti, Taylor L., Khailany, Brucek, Jordan, Andrew N., Anandkumar, Anima
Effective Hamiltonian calculations for large quantum systems can be both analytically intractable and numerically expensive using standard techniques. In this manuscript, we present numerical techniques inspired by Nonperturbative Analytical Diagonal
Externí odkaz:
http://arxiv.org/abs/2411.09982
Autor:
Alexeev, Yuri, Farag, Marwa H., Patti, Taylor L., Wolf, Mark E., Ares, Natalia, Aspuru-Guzik, Alán, Benjamin, Simon C., Cai, Zhenyu, Chandani, Zohim, Fedele, Federico, Harrigan, Nicholas, Kim, Jin-Sung, Kyoseva, Elica, Lietz, Justin G., Lubowe, Tom, McCaskey, Alexander, Melko, Roger G., Nakaji, Kouhei, Peruzzo, Alberto, Stanwyck, Sam, Tubman, Norm M., Wang, Hanrui, Costa, Timothy
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, including th
Externí odkaz:
http://arxiv.org/abs/2411.09131
Autor:
Agarwal, Ishita, Patti, Taylor L., Bravo, Rodrigo Araiza, Yelin, Susanne F., Anandkumar, Anima
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML). At the core of QNC is the quantum perceptron (QP), which leverages the analog d
Externí odkaz:
http://arxiv.org/abs/2411.09093
Autor:
Earnshaw, Hannah P., Patti, Gauri, Brightman, Murray, Sathyaprakash, Rajath, Walton, Dominic J., Fuerst, Felix, Roberts, Timothy P., Harrison, Fiona A.
We present preliminary results of a Chandra Large Program to monitor the ultraluminous X-ray source (ULX) populations of three nearby, ULX-rich galaxies over the course of a year, finding the ULX population to show a variety of long-term variability
Externí odkaz:
http://arxiv.org/abs/2411.07459
Autor:
Troiano, Enrica, Labat, Sofie, Stranisci, Marco Antonio, Patti, Viviana, Damiano, Rossana, Klinger, Roman
There is a mismatch between psychological and computational studies on emotions. Psychological research aims at explaining and documenting internal mechanisms of these phenomena, while computational work often simplifies them into labels. Many emotio
Externí odkaz:
http://arxiv.org/abs/2409.19025
Autor:
Chicchi, Lorenzo, Fanelli, Duccio, Febbe, Diego, Buffoni, Lorenzo, Di Patti, Francesca, Giambagli, Lorenzo, Marino, Raffele
The Continuous-Variable Firing Rate (CVFR) model, widely used in neuroscience to describe the intertangled dynamics of excitatory biological neurons, is here trained and tested as a veritable dynamically assisted classifier. To this end the model is
Externí odkaz:
http://arxiv.org/abs/2409.13470
Autor:
Shah, Freya, Patti, Taylor L., Berner, Julius, Tolooshams, Bahareh, Kossaifi, Jean, Anandkumar, Anima
Fourier Neural Operators (FNOs) excel on tasks using functional data, such as those originating from partial differential equations. Such characteristics render them an effective approach for simulating the time evolution of quantum wavefunctions, wh
Externí odkaz:
http://arxiv.org/abs/2409.03302
Autor:
Wang, Iria W., Brown, Robin, Patti, Taylor L., Anandkumar, Anima, Pavone, Marco, Yelin, Susanne F.
Quantum computation shows promise for addressing numerous classically intractable problems, such as optimization tasks. Many optimization problems are NP-hard, meaning that they scale exponentially with problem size and thus cannot be addressed at sc
Externí odkaz:
http://arxiv.org/abs/2408.07774
Autor:
Marino, Raffaele, Buffoni, Lorenzo, Chicchi, Lorenzo, Di Patti, Francesca, Febbe, Diego, Giambagli, Lorenzo, Fanelli, Duccio
The Wilson-Cowan model for metapopulation, a Neural Mass Network Model, treats different subcortical regions of the brain as connected nodes, with connections representing various types of structural, functional, or effective neuronal connectivity be
Externí odkaz:
http://arxiv.org/abs/2406.16453