156 citations · 517 across the 13 of their papers we have counts for
13 papers
Experimental Demonstration of Break-Even for the Compact Fermionic Encoding
Ramil Nigmatullin, Kevin Hemery, Khaldoon Ghanem +8
The utility of solving the Fermi-Hubbard model has been estimated in the billions of dollars. Digital quantum computers can in principle address this task, but have so far been lim…
Practicality of quantum adiabatic algorithm for chemistry applications
Etienne Granet, Khaldoon Ghanem, Henrik Dreyer
Despite its simplicity and strong theoretical guarantees, adiabatic state preparation has received considerably less interest than variational approaches for the preparation of low…
Measuring the Loschmidt amplitude for finite-energy properties of the Fermi-Hubbard model on an ion-trap quantum computer
Kévin Hémery, Khaldoon Ghanem, Eleanor Crane +16
Calculating the equilibrium properties of condensed matter systems is one of the promising applications of near-term quantum computing. Recently, hybrid quantum-classical time-seri…
Generalized Maximum Entropy Methods as Limits of the Average Spectrum Method
Khaldoon Ghanem, Erik Koch
We show that in the continuum limit, the average spectrum method (ASM) is equivalent to maximizing Rényi entropies of order , of which Shannon entropy is the special case .…
Robust Extraction of Thermal Observables from State Sampling and Real-Time Dynamics on Quantum Computers
Khaldoon Ghanem, Alexander Schuckert, Henrik Dreyer
Simulating properties of quantum materials is one of the most promising applications of quantum computation, both near- and long-term. While real-time dynamics can be straightforwa…
Connecting Tikhonov regularization to the maximum entropy method for the analytic continuation of quantum Monte Carlo data
Khaldoon Ghanem, Erik Koch
Analytic continuation is an essential step in extracting information about the dynamical properties of physical systems from quantum Monte Carlo (QMC) simulations. Different method…
Population Control Bias and Importance Sampling in Full Configuration Interaction Quantum Monte Carlo
Khaldoon Ghanem, Niklas Liebermann, Ali Alavi
Population control is an essential component of any projector Monte Carlo algorithm. This control mechanism usually introduces a bias in the sampled quantities that is inversely pr…
The Adaptive Shift Method in Full Configuration Interaction Quantum Monte Carlo: Development and Applications
Khaldoon Ghanem, Kai Guther, Ali Alavi
In a recent paper, we proposed the adaptive shift method for correcting the undersampling bias of the initiator-FCIQMC. The method allows faster convergence with the number of walk…
The Ground State Electronic Energy of Benzene
Janus J. Eriksen, Tyler A. Anderson, J. Emiliano Deustua +21
We report on the findings of a blind challenge devoted to determining the frozen-core, full configuration interaction (FCI) ground state energy of the benzene molecule in a standar…
NECI: N-Electron Configuration Interaction with emphasis on state-of-the-art stochastic methods
Kai Guther, Robert J. Anderson, Nick S. Blunt +22
We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo algorithm, a method based on a stochastic application of the Hamiltonia…
Extending the average spectrum method: Grid points sampling and density averaging
Khaldoon Ghanem, Erik Koch
Analytic continuation of imaginary time or frequency data to the real axis is a crucial step in extracting dynamical properties from quantum Monte Carlo simulations. The average sp…
The Average Spectrum Method for Analytic Continuation: Efficient Blocked Modes Sampling and Dependence on Discretization Grid
Khaldoon Ghanem, Erik Koch
The average spectrum method is a promising approach for the analytic continuation of imaginary time or frequency data to the real axis. It determines the analytic continuation of n…
Unbiasing the initiator approximation in Full Configuration Interaction Quantum Monte Carlo
Khaldoon Ghanem, Alexander Y. Lozovoi, Ali Alavi
We identify and rectify a crucial source of bias in the initiator FCIQMC algorithm. Non-initiator determinants (i.e. determinants whose population is below the initiator threshold)…