20 citations · 29 across the 5 of their papers we have counts for
5 papers
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…
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…
Anderson impurity solver integrating tensor network methods with quantum computing
Francois Jamet, Lachlan P. Lindoy, Yannic Rath +6
Solving the Anderson impurity model typically involves a two-step process, where one first calculates the ground state of the Hamiltonian, and then computes its dynamical propertie…
Evaluating second-order phase transitions with Diagrammatic Monte Carlo: Néel Transition in the doped three-dimensional Hubbard model
Connor Lenihan, Aaram J. Kim, Fedor Šimkovic IV. +1
Diagrammatic Monte Carlo -- the technique for numerically exact summation of all Feynman diagrams to high orders -- offers a unique unbiased probe of continuous phase transitions.…
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…