205 citations · 1.2k across the 32 of their papers we have counts for
32 papers
Quantum entanglement patterns in the structure of atomic nuclei within the nuclear shell model
A. Pérez-Obiol, S. Masot-Llima, A. M. Romero +4
Quantum entanglement offers a unique perspective into the underlying structure of strongly-correlated systems such as atomic nuclei. In this paper, we use quantum information tools…
Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states
J. W. T. Keeble, M. Drissi, A. Rojo-Francàs +2
We compute the ground-state properties of fully polarized, trapped, one-dimensional fermionic systems interacting through a gaussian potential. We use an antisymmetric artificial n…
Machine learning the deuteron: new architectures and uncertainty quantification
J Rozalén Sarmiento, J W T Keeble, A Rios
We solve the ground state of the deuteron using a variational neural network ansatz for the wave function in momentum space. This ansatz provides a flexible representation of both…
Many-body approximations to the superfluid gap and critical temperature in pure neutron matter
M. Drissi, A. Rios
We compute singlet pairing gaps and critical temperatures in pure neutron matter with different many-body approximations. Medium effects tend to reduce gaps and critical temperatur…
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…