We investigate an approach for studying the ground state of a quantum many-body Hamiltonian that is based on treating the correlation functions as variational parameters. In this approach, the challenge set by the exponentially-large Hilbert space is circumvented by approximating the positivity of the density matrix, order-by-order, in a way that keeps track of a limited set of correlation functions. In particular, the density-matrix description is replaced by a correlation matrix whose dimension is kept linear in system size, to all orders of the approximation. Unlike the conventional variational principle which provides an upper bound on the ground-state energy, in this approach one obtains a lower bound instead. By treating several one-d...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
This thesis focuses on developing new approaches to solving the ground state properties of quantum m...
The variational reduced density matrix theory has been recently applied with great success to models...
We investigate an approach for studying the ground state of a quantum many-body Hamiltonian that is ...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
Variational methods have proven to be excellent tools to approximate the ground states of complex ma...
Variational methods have proven to be excellent tools to approximate the ground states of complex ma...
In this thesis the variational optimisation of the density matrix is discussed as a method in many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
This thesis focuses on developing new approaches to solving the ground state properties of quantum m...
The variational reduced density matrix theory has been recently applied with great success to models...
We investigate an approach for studying the ground state of a quantum many-body Hamiltonian that is ...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
International audienceA ubiquitous problem in quantum physics is to understand the ground-state prop...
Variational methods have proven to be excellent tools to approximate the ground states of complex ma...
Variational methods have proven to be excellent tools to approximate the ground states of complex ma...
In this thesis the variational optimisation of the density matrix is discussed as a method in many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
42 pagesInternational audienceTime-dependent expectation values and correlation functions for many-b...
This thesis focuses on developing new approaches to solving the ground state properties of quantum m...
The variational reduced density matrix theory has been recently applied with great success to models...