The wave function factorization method determines an optimal basis of correlated proton and neutron states, and accurately approximates low-lying shell-model states by a rather small number of suitable product states. The optimal basis states result from a variational principle and are the solution of relatively low-dimensional eigenvalue problems. The error involved in this truncation decreases exponentially fast as more basis states are included
We perform a direct variational determination of the secondorder (two-particle) density matrix corre...
A new methodology is proposed for the efficient determination of Green`s functions and eigenstates f...
A matrix decomposition method for the determination of the lowest eigenvalue of a Hermitian matrix i...
We present a basis selection method for truncated shell-model calculations. In this method, the corr...
A variational method is developed based on the Hartree-Fock approximation, but not restricted to a s...
A new type of basis set for quantum mechanical problems is introduced. These basis states are adapte...
An importance-sampling iterative algorithm for diagonalizing shell model Hamiltonian matrices is rev...
We investigate the use of hybrid schemes for the calculation of low-energy eigenstates of shell mode...
Matrix Product States can efficiently approximate ground states. Based on the Matrix Product formali...
International audienceWe introduce an efficient method to construct optimal and system adaptive basi...
We present the reduced basis method as a tool for developing emulators for equations with tunable pa...
A method for lower bounds calculation for the lighest atomic nuclei is introduced. The effiency of t...
The energy states of a quantum mechanical system are one of the most important factors governing its...
International audienceWe introduce a systematically improvable family of variational wave functions ...
We present developments and applications for the diagonalization of shell-model hamiltonians in a di...
We perform a direct variational determination of the secondorder (two-particle) density matrix corre...
A new methodology is proposed for the efficient determination of Green`s functions and eigenstates f...
A matrix decomposition method for the determination of the lowest eigenvalue of a Hermitian matrix i...
We present a basis selection method for truncated shell-model calculations. In this method, the corr...
A variational method is developed based on the Hartree-Fock approximation, but not restricted to a s...
A new type of basis set for quantum mechanical problems is introduced. These basis states are adapte...
An importance-sampling iterative algorithm for diagonalizing shell model Hamiltonian matrices is rev...
We investigate the use of hybrid schemes for the calculation of low-energy eigenstates of shell mode...
Matrix Product States can efficiently approximate ground states. Based on the Matrix Product formali...
International audienceWe introduce an efficient method to construct optimal and system adaptive basi...
We present the reduced basis method as a tool for developing emulators for equations with tunable pa...
A method for lower bounds calculation for the lighest atomic nuclei is introduced. The effiency of t...
The energy states of a quantum mechanical system are one of the most important factors governing its...
International audienceWe introduce a systematically improvable family of variational wave functions ...
We present developments and applications for the diagonalization of shell-model hamiltonians in a di...
We perform a direct variational determination of the secondorder (two-particle) density matrix corre...
A new methodology is proposed for the efficient determination of Green`s functions and eigenstates f...
A matrix decomposition method for the determination of the lowest eigenvalue of a Hermitian matrix i...