From the 1 of 9 linked papers with an AI index.
9 papers
Sign-optimized Quantum Monte Carlo
Julius S. Herz, Robin Schäfer, MatÃas G. Gonzalez +1
The sign problem breaks the polynomial scaling of Quantum Monte Carlo methods. We alleviate it by rotation of the local basis of the Hilbert space, such that the phase of off-diago…
Disorder-enhanced compressibility of Floquet random quantum circuits
Francesca De Franco, Dante M. Kennes, David J. Luitz +2
The paper studies how disorder affects the compressibility of Floquet random quantum circuits, showing that strong disorder leads to slower operator scrambling and allows shallower…
Post-measurement Quantum Monte Carlo
Kriti Baweja, David J. Luitz, Samuel J. Garratt
We show how the effects of large numbers of measurements on many-body quantum ground and thermal states can be studied using Quantum Monte Carlo (QMC). Density matrices generated b…
Thermodynamics of the Heisenberg antiferromagnet on the maple-leaf lattice
Robin Schäfer, Paul L. Ebert, Noah Hassan +3
We study the Heisenberg antiferromagnet on the maple-leaf lattice using several numerical approaches, focusing on the numerical linked-cluster expansion (NLCE), which exhibits an u…
Hamiltonian Monte Carlo enhanced by Exact Diagonalization
Finn L. Temmen, Martina Gisti, David J. Luitz +2
Strongly correlated fermionic systems are of great interest in condensed matter physics and numerical methods are indispensable tools for their study. However, existing approaches…
Random matrix perspective on probabilistic error cancellation
Leonhard Moske, Pedro Ribeiro, Tomaž Prosen +3
Probabilistic error cancellation is an attempt to reverse the effect of dissipative noise channels on quantum computers by applying unphysical channels after the execution of a qua…