3 papers
quant-ph2025
Excitation Amplitude Sampling for Low Variance Electronic Structure on Quantum Computers
Connor Lenihan, Oliver J. Backhouse, Basil Ibrahim +4
We combine classical heuristics with partial shadow tomography to enable efficient protocols for extracting information from correlated ab initio electronic systems encoded on quan…
quant-ph2024
Accelerating Quantum Eigensolver Algorithms With Machine Learning
Avner Bensoussan, Elena Chachkarova, Karine Even-Mendoza +2
In this paper, we explore accelerating Hamiltonian ground state energy calculation on NISQ devices. We suggest using search-based methods together with machine learning to accelera…
cond-mat.str-el2020
Entropy in the non-Fermi-liquid regime of the doped Hubbard model
Connor Lenihan, Aaram J. Kim, Fedor Šimkovic IV. +1
We study thermodynamic properties of the doped Hubbard model on the square lattice in the regime of strong charge and spin fluctuations at low temperatures near the metal-to-insula…