142 citations · 816 across the 52 of their papers we have counts for
6 papers · 1 filter
Classical optimization with imaginary time block encoding on quantum computers: The MaxCut problem
Dawei Zhong, Akhil Francis, Ermal Rrapaj
Optimization problems in finance, physics and computer science are typically very hard to tackle in classical computing and quantum computing could help speed up computations and p…
Comprehensive Performance Modeling and System Design Insights for Foundation Models
Shashank Subramanian, Ermal Rrapaj, Peter Harrington +6
Generative AI, in particular large transformer models, are increasingly driving HPC system design in science and industry. We analyze performance characteristics of such transforme…
HATT: Hamiltonian Adaptive Ternary Tree for Optimizing Fermion-to-Qubit Mapping
Yuhao Liu, Kevin Yao, Jonathan Hong +5
This paper introduces the Hamiltonian-Adaptive Ternary Tree (HATT) framework to compile optimized Fermion-to-qubit mapping for specific Fermionic Hamiltonians. In the simulation of…
Restricted Boltzmann Machines Propagators for Auxiliary Field Diffusion Monte Carlo
Jordan M. R. Fox, Alessandro Lovato, Alessandro Roggero +1
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…
Exact block encoding of imaginary time evolution with universal quantum neural networks
Ermal Rrapaj, Evan Rule
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 o…
Correlations and Distinguishability Challenges in Supernova Models: Insights from Future Neutrino Detectors
Maria Manuela Saez, Ermal Rrapaj, Akira Harada +2
This paper explores core-collapse supernovae as crucial targets for neutrino telescopes, addressing uncertainties in their simulation results. We comprehensively analyze eighteen m…