A procedure is discussed that searches for the best description of the eigenstates of a Hamiltonian of a finite quantum many-body system in terms of a selected set of physically relevant configurations. The procedure resorts to iterative sequences of diagonalizations in spaces of very reduced size. Each diagonalization provides an energy-based importance measure that governs the selection of the configurations to be included in the states. The procedure is strictly variational and preserves the symmetries of the Hamiltonian throughout the iterative process. We report on some test applications to the Na(8) metal cluster. A series of calculations is performed on a Hartree-Fock basis for a number of orbitals ranging from 5 to 20. In the case o...
In this thesis, we will show how certain classes of quantum many-body Hamiltonians with $\su{2}_1 \o...
This thesis focuses on developing new approaches to solving the ground state properties of quantum m...
<p>The Davidson method has been highly successful for solving for eigenpairs of the large matrices t...
We introduce a variational unitary matrix product operator based variational method that approximate...
We introduce a variational unitary matrix product operator based variational method that approximate...
We introduce a variational unitary matrix product operator based variational method that approximate...
We introduce a variational unitary matrix product operator based variational method that approximate...
In this thesis a method for doing approximate calculations of the ground state of quantum mechanical...
This thesis is focused on the application and development of numerical methods for studying quantum ...
In this thesis the variational optimisation of the density matrix is discussed as a method in many-b...
A method is implemented wherein numerical approximations to the ground and first few excited states ...
The emerging field of quantum simulation of many-body systems is widely recognized as a very importa...
Variational algorithms for strongly correlated chemical and materials systems are one of the most pr...
In this thesis, we will show how certain classes of quantum many-body Hamiltonians with $\su{2}_1 \o...
International audienceVariational quantum algorithms aim at harnessing the power of noisy intermedia...
In this thesis, we will show how certain classes of quantum many-body Hamiltonians with $\su{2}_1 \o...
This thesis focuses on developing new approaches to solving the ground state properties of quantum m...
<p>The Davidson method has been highly successful for solving for eigenpairs of the large matrices t...
We introduce a variational unitary matrix product operator based variational method that approximate...
We introduce a variational unitary matrix product operator based variational method that approximate...
We introduce a variational unitary matrix product operator based variational method that approximate...
We introduce a variational unitary matrix product operator based variational method that approximate...
In this thesis a method for doing approximate calculations of the ground state of quantum mechanical...
This thesis is focused on the application and development of numerical methods for studying quantum ...
In this thesis the variational optimisation of the density matrix is discussed as a method in many-b...
A method is implemented wherein numerical approximations to the ground and first few excited states ...
The emerging field of quantum simulation of many-body systems is widely recognized as a very importa...
Variational algorithms for strongly correlated chemical and materials systems are one of the most pr...
In this thesis, we will show how certain classes of quantum many-body Hamiltonians with $\su{2}_1 \o...
International audienceVariational quantum algorithms aim at harnessing the power of noisy intermedia...
In this thesis, we will show how certain classes of quantum many-body Hamiltonians with $\su{2}_1 \o...
This thesis focuses on developing new approaches to solving the ground state properties of quantum m...
<p>The Davidson method has been highly successful for solving for eigenpairs of the large matrices t...