Zobrazeno 1 - 10
of 6 330
pro vyhledávání: '"Lupo, P."'
Autor:
Bennett, Ed, Del Debbio, Luigi, Forzano, Niccolò, Hill, Ryan C., Hong, Deog Ki, Hsiao, Ho, Lee, Jong-Wan, Lin, C. -J. David, Lucini, Biagio, Lupo, Alessandro, Piai, Maurizio, Vadacchino, Davide, Zierler, Fabian
Spectral densities encode non-perturbative information crucial in computing physical observables in strongly coupled field theories. Using lattice gauge theory data, we perform a systematic study to demonstrate the potential of recent technological a
Externí odkaz:
http://arxiv.org/abs/2410.11386
The analytical continuation of correlation functions from imaginary to real time is a crucial step in lattice gauge theories, and it challenges our ability to derive non-perturbative predictions from lattice simulations. We review aspects of this "in
Externí odkaz:
http://arxiv.org/abs/2410.09944
Identifying interacting partners from two sets of protein sequences has important applications in computational biology. Interacting partners share similarities across species due to their common evolutionary history, and feature correlations in amin
Externí odkaz:
http://arxiv.org/abs/2409.16142
We study numerically the Hessian of low-lying minima of vector spin glass models defined on random regular graphs. We consider the two-component (XY) and three-component (Heisenberg) spin glasses at zero temperature, subjected to the action of a rand
Externí odkaz:
http://arxiv.org/abs/2409.10312
Autor:
Pepe, Francesco V., Di Lena, Francesco, Garuccio, Augusto, Giannella, Davide, Lupo, Alessandro, Massaro, Gianlorenzo, Scagliola, Alessio, Scattarella, Francesco, Vasiukov, Sergii, D'Angelo, Milena
Publikováno v:
Proceedings of SPIE 11835, 118350I (2021)
We present novel methods to perform plenoptic imaging at the diffraction limit by measuring intensity correlations of light. The first method is oriented towards plenoptic microscopy, a promising technique which allows refocusing and depth-of-field e
Externí odkaz:
http://arxiv.org/abs/2409.09456
The problem of obtaining spectral densities from lattice data has been receiving great attention due to its importance in our understanding of scattering processes in Quantum Field Theory, with applications both in the Standard Model and beyond. The
Externí odkaz:
http://arxiv.org/abs/2409.04413
We develop an optimized hardware strategy to mitigate errors in a noisy qubit. Our scheme builds on the physical principle of error filtration and exploits auxiliary qubits. Both signal and ancillas are subject to local noise, yet constructive interf
Externí odkaz:
http://arxiv.org/abs/2409.01398
We demonstrate spectroscopy of incoherent light with sub-diffraction resolution. In a proof-of-principle experiment we analyze the spectrum of a pair of incoherent point-like sources whose separation is below the diffraction limit. The two sources mi
Externí odkaz:
http://arxiv.org/abs/2409.01190
Autor:
Boccaletti, A., Borsanyi, Sz., Davier, M., Fodor, Z., Frech, F., Gerardin, A., Giusti, D., Kotov, A. Yu., Lellouch, L., Lippert, Th., Lupo, A., Malaescu, B., Mutzel, S., Portelli, A., Risch, A., Sjo, M., Stokes, F., Szabo, K. K., Toth, B. C., Wang, G., Zhang, Z.
We present a new lattice QCD calculation of the leading order hadronic vacuum polarization contribution to the muon anomalous magnetic moment $a_\mu$. We reduce uncertainties compared to our earlier computation by $40\%$, arXiv:2002.12347. We perform
Externí odkaz:
http://arxiv.org/abs/2407.10913
Autor:
Pasini, Massimiliano Lupo, Choi, Jong Youl, Mehta, Kshitij, Zhang, Pei, Rogers, David, Bae, Jonghyun, Ibrahim, Khaled Z., Aji, Ashwin M., Schulz, Karl W., Polo, Jorda, Balaprakash, Prasanna
We present our work on developing and training scalable, trustworthy, and energy-efficient predictive graph foundation models (GFMs) using HydraGNN, a multi-headed graph convolutional neural network architecture. HydraGNN expands the boundaries of gr
Externí odkaz:
http://arxiv.org/abs/2406.12909