fTDHF extends time-dependent Hartree-Fock to fermionized spin-1/2 Hamiltonians, remaining exact for free fermions while handling non-local strings via non-orthogonal Slater determinant transitions and reproducing qualitative dynamics in three benchmark models.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 4roles
background 2polarities
background 2representative citing papers
Light in a 2D atomic waveguide delocalizes above a critical density due to near-field interactions, with finite-size scaling giving critical exponent ν = 1.4 ± 0.2.
Resetting applied to a disordered 1D hopping model, recast as microtubule catastrophes with Gamma-distributed times, produces observed reset-length distributions and can yield logarithmically slow mean displacement growth.
A quantum MCMC algorithm leveraging the MBL phase and its thermal-to-localized transition to tune acceptance rates and sample thermal distributions on programmable quantum simulators for combinatorial optimization.
citing papers explorer
-
Fermionic mean-field dynamics for spin systems beyond free fermions
fTDHF extends time-dependent Hartree-Fock to fermionized spin-1/2 Hamiltonians, remaining exact for free fermions while handling non-local strings via non-orthogonal Slater determinant transitions and reproducing qualitative dynamics in three benchmark models.
-
Delocalization transition for light in two dimensions
Light in a 2D atomic waveguide delocalizes above a critical density due to near-field interactions, with finite-size scaling giving critical exponent ν = 1.4 ± 0.2.
-
Resetting dynamics in a system with quenched disorder
Resetting applied to a disordered 1D hopping model, recast as microtubule catastrophes with Gamma-distributed times, produces observed reset-length distributions and can yield logarithmically slow mean displacement growth.
-
Quantum Markov chain Monte Carlo method with programmable quantum simulators
A quantum MCMC algorithm leveraging the MBL phase and its thermal-to-localized transition to tune acceptance rates and sample thermal distributions on programmable quantum simulators for combinatorial optimization.