activity
20032024
most citedStochastic Wave-Function Unravelling of the Generalized Lindblad Master Equation

32 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

physics.comp-ph2024

An Adaptive Genetic Algorithm for determining optimal structures for atomic clusters

Brandon Willnecker, Mervlyn Moodley

The implementation of adaptive genetic algorithms (AGA) for optimization problems has proven to be superior than many other methods due to its nature of producing more robust and h…

physics.comp-ph2024

Critical temperature of the classical XY model via autoencoder latent space sampling

Brandon Willnecker, Mervlyn Moodley

The classical XY model has been consistently studied since it was introduced more than six decades ago. Of particular interest has been the two-dimensional spin model's exhibition…

hep-ph2023

Soliton Solutions and Conservation Laws for a Self-interacting Scalar Field in \(ϕ^{4}\) Theory

Muhammad Al-Zafar Khan, Mervlyn Moodley, Francesco Petruccione

We calculate soliton solutions to the scalar field equation of motion that arises for the 4th-order extended Lagrangian (\(ϕ^{4}\) theory) in quantum field theory using the extende…

quant-ph2009★ 32 cited

Stochastic Wave-Function Unravelling of the Generalized Lindblad Master Equation

Mervlyn Moodley, Francesco Petruccione

Recently a generalized master equation was derived that extends the Lindblad theory to highly non-Markovian quantum processes (H.-P. Breuer, Phys. Rev. A \textbf{75}, 022103 (2007)…

quant-ph2005★ 12 cited

Inter-dimensional Degeneracies in van der Waals Clusters and Quantum Monte Carlo Computation of Rovibrational States

M. P. Nightingale, Mervlyn Moodley

Quantum Monte Carlo estimates of the spectrum of rotationally invariant states of noble gas clusters suggest inter-dimensional degeneracy in and spacial dimensions. We…

cond-mat2003

The Lognormal Distribution and Quantum Monte Carlo Data

Mervlyn Moodley

Quantum Monte Carlo data are often afflicted with distributions that resemble lognormal probability distributions and consequently their statistical analysis can not be based on si…