activity
20102023
most citedEfficient description of strongly correlated electrons with mean-field cost

148 citations · 668 across the 22 of their papers we have counts for

collaborators
Showing math-phShow all

6 papers · 1 filter

math-ph2018★ 26 cited

Integrable spin-1/2 Richardson-Gaudin XYZ models in an arbitrary magnetic field

Pieter W. Claeys, Claude Dimo, Stijn De Baerdemacker +1

We establish the most general class of spin-1/2 integrable Richardson-Gaudin models including an arbitrary magnetic field, returning a fully anisotropic (XYZ) model. The restrictio…

math-ph2016★ 19 cited

The Birkhoff theorem for unitary matrices of arbitrary dimensions

Stijn De Baerdemacker, Alexis De Vos, Lin Chen +1

It was shown recently that Birkhoff's theorem for doubly stochastic matrices can be extended to unitary matrices with equal line sums whenever the dimension of the matrices is prim…

math-ph2015★ 5 cited

The Birkhoff theorem for unitary matrices of prime dimension

Alexis De Vos, Stijn De Baerdemacker

The Birkhoff's theorem states that any doubly stochastic matrix lies inside a convex polytope with the permutation matrices at the corners. It can be proven that a similar theorem…

math-ph2015★ 26 cited

Eigenvalue-based determinants for scalar products and form factors in Richardson-Gaudin integrable models coupled to a bosonic mode

Pieter W. Claeys, Stijn De Baerdemacker, Mario Van Raemdonck +1

Starting from integrable (quasi-)spin Richardson-Gaudin XXZ models we derive several properties of integrable spin models coupled to a bosonic mode. We focus on the Dicke-J…

math-ph2014★ 5 cited

The Dicke model as the contraction limit of a pseudo-deformed Richardson-Gaudin model

Pieter W. Claeys, Stijn De Baerdemacker, Mario Van Raemdonck +1

The Dicke model is derived in the contraction limit of a pseudo-deformation of the quasispin algebra in the su(2)-based Richardson-Gaudin models. Likewise, the integrability of the…

math-ph2014★ 14 cited

Scaling a unitary matrix

Alexis De Vos, Stijn De Baerdemacker

The iterative method of Sinkhorn allows, starting from an arbitrary real matrix with non-negative entries, to find a so-called 'scaled matrix' which is doubly stochastic, i.e. a ma…