4 papers
Second-order optimisation strategies for neural network quantum states
M. Drissi, J. W. T. Keeble, J. Rozalén Sarmiento +1
The Variational Monte Carlo method has recently seen important advances through the use of neural network quantum states. While more and more sophisticated ansätze have been desig…
Nambu-Covariant Many-Body Theory II: Self-Consistent Approximations
M. Drissi, A. Rios, C. Barbieri
The theory of Self-Consistent Green's Function (SCGF) is reformulated in an explicit Nambu-covariant fashion for applications to many-body systems at non-zero temperature in symmet…
Nambu-Covariant Many-Body Theory I: Perturbative Approximations
M. Drissi, A. Rios, C. Barbieri
Symmetry-breaking considerations play an important role in allowing reliable and accurate predictions of complex systems in quantum many-body simulations. The general theory of per…
An strategy for taming nuclear-structure dependence of extractions: the superallowed transition
Michael Gennari, Mehdi Drissi, Mikhail Gorchtein +2
We report the first \textit{ab initio} calculation of the nuclear-structure-dependent radiative correction to the $ {}^{10}\mathrm{C} \rightarrow {}^{10}\mat…