Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Rrapaj, Ermal"'
Autor:
Subramanian, Shashank, Rrapaj, Ermal, Harrington, Peter, Chheda, Smeet, Farrell, Steven, Austin, Brian, Williams, Samuel, Wright, Nicholas, Bhimji, Wahid
Generative AI, in particular large transformer models, are increasingly driving HPC system design in science and industry. We analyze performance characteristics of such transformer models and discuss their sensitivity to the transformer type, parall
Externí odkaz:
http://arxiv.org/abs/2410.00273
Autor:
Liu, Yuhao, Yao, Kevin, Hong, Jonathan, Froustey, Julien, Shi, Yunong, Rrapaj, Ermal, Iancu, Costin, Li, Gushu
This paper introduces the Hamiltonian-Aware Ternary Tree (HATT) framework to compile optimized Fermion-to-qubit mapping for specific Fermionic Hamiltonians. In the simulation of Fermionic quantum systems, efficient Fermion-to-qubit mapping plays a cr
Externí odkaz:
http://arxiv.org/abs/2409.02010
The auxiliary field diffusion Monte Carlo method uses imaginary-time projection techniques to accurately solve the ground-state wave function of atomic nuclei and infinite nuclear matter. In this work, we present a novel representation of the imagina
Externí odkaz:
http://arxiv.org/abs/2407.14632
Autor:
Rrapaj, Ermal, Rule, Evan
We develop a constructive approach to generate quantum neural networks capable of representing the exact thermal states of all many-body qubit Hamiltonians. The Trotter expansion of the imaginary-time propagator is implemented through an exact block
Externí odkaz:
http://arxiv.org/abs/2403.17273
This paper explores core-collapse supernovae as crucial targets for neutrino telescopes, addressing uncertainties in their simulation results. We comprehensively analyze eighteen modern simulations and discriminate among supernova models using realis
Externí odkaz:
http://arxiv.org/abs/2401.02531
Neutrino scattering and absorption rates of relevance to supernovae and neutron star mergers are obtained from nuclear matter dynamical structure functions that encode many-body effects from nuclear mean fields and correlations. We employ nuclear int
Externí odkaz:
http://arxiv.org/abs/2306.05280
Autor:
Herranz-Celotti, Luca, Rrapaj, Ermal
The softmax attention mechanism has emerged as a noteworthy development in the field of Artificial Intelligence research, building on the successes of Transformer-based architectures. However, their ever increasing sizes necessitate ever increasing c
Externí odkaz:
http://arxiv.org/abs/2305.10991
Publikováno v:
Eur. Phys. J. A 59, 186 (2023)
In extreme astrophysical environments such as core-collapse supernovae and binary neutron star mergers, neutrinos play a major role in driving various dynamical and microphysical phenomena, such as baryonic matter outflows, the synthesis of heavy ele
Externí odkaz:
http://arxiv.org/abs/2305.01150
Publikováno v:
In: Handbook of Nuclear Physics (2022), Springer Nature, Singapore, edited by Tanihata, I., Toki, H., Kajino, T
Neutrino flavor transformations in core-collapse supernovae and binary neutron star mergers represent a complex and unsolved problem that is integral to our understanding of the dynamics and nucleosynthesis in these environments. The high number dens
Externí odkaz:
http://arxiv.org/abs/2301.00342
We study the gate-based implementation of the binary reflected Gray code (BRGC) and binary code of the unitary time evolution operator due to the Laplacian discretized on a lattice with periodic boundary conditions. We find that the resulting Trotter
Externí odkaz:
http://arxiv.org/abs/2207.11647