We review a class of efficient wavefunction approximations that are based around the limit of low entanglement. These wavefunctions, which go by such names as matrix product states and tensor network states, occupy a different region of Hilbert space from wavefunctions built around the Hartree–Fock limit. The best known class of low entanglement wavefunctions, the matrix product states, forms the variational space of the density matrix renormalization group algorithm. Because of their different structure to many other quantum chemistry wavefunctions, low entanglement approximations hold promise for problems conventionally considered hard in quantum chemistry, and in particular problems which have a multireference or strong correlation natur...
The treatment of high-dimensional problems such as the Schrodinger equation can be approached by con...
AbstractWe consider a matrix approximation problem arising in the study of entanglement in quantum p...
We use the formalism of tensor network states to investigate the relation between static correlation...
We review a class of efficient wavefunction approximations that are based around the limit of low en...
The theory of entanglement provides a fundamentally new language for describing interactions and cor...
We consider a matrix approximation problem arising in the study of entanglement in quantum physics. ...
Classical simulation of quantum many-body systems is in general a challenging problem for the simple...
This article reviews recent developments in the theoretical understanding and the numerical implemen...
Many quantum algorithms seek to output a specific bitstring solving the problem of interest-or a few...
We investigate tree tensor network states for quantum chemistry. Tree tensor network states represen...
In the quantum spin systems, such as the Heisenberg model, the dimension of the Hilbert space increa...
We review different descriptions of many-body quantum systems in terms of tensor product states. We ...
This thesis contributes to developing and applying tensor network methods to simulate correlated man...
Many quantum algorithms seek to output a specific bitstring solving the problem of interest--or a fe...
We propose a new class of tensor-network states, which we name projected entangled simplex states (P...
The treatment of high-dimensional problems such as the Schrodinger equation can be approached by con...
AbstractWe consider a matrix approximation problem arising in the study of entanglement in quantum p...
We use the formalism of tensor network states to investigate the relation between static correlation...
We review a class of efficient wavefunction approximations that are based around the limit of low en...
The theory of entanglement provides a fundamentally new language for describing interactions and cor...
We consider a matrix approximation problem arising in the study of entanglement in quantum physics. ...
Classical simulation of quantum many-body systems is in general a challenging problem for the simple...
This article reviews recent developments in the theoretical understanding and the numerical implemen...
Many quantum algorithms seek to output a specific bitstring solving the problem of interest-or a few...
We investigate tree tensor network states for quantum chemistry. Tree tensor network states represen...
In the quantum spin systems, such as the Heisenberg model, the dimension of the Hilbert space increa...
We review different descriptions of many-body quantum systems in terms of tensor product states. We ...
This thesis contributes to developing and applying tensor network methods to simulate correlated man...
Many quantum algorithms seek to output a specific bitstring solving the problem of interest--or a fe...
We propose a new class of tensor-network states, which we name projected entangled simplex states (P...
The treatment of high-dimensional problems such as the Schrodinger equation can be approached by con...
AbstractWe consider a matrix approximation problem arising in the study of entanglement in quantum p...
We use the formalism of tensor network states to investigate the relation between static correlation...