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Exploring the potential of natural orbital functionals
M Piris - Chemical Science, 2024 - pubs.rsc.org
In recent years, Natural Orbital Functional (NOF) theory has gained increasing significance
in quantum chemistry, successfully addressing one of the field's most challenging problems …
in quantum chemistry, successfully addressing one of the field's most challenging problems …
Advances in approximate natural orbital functionals: From historical perspectives to contemporary developments
M Piris - arxiv preprint arxiv:2312.07163, 2023 - arxiv.org
This chapter provides a comprehensive review of fundamental concepts related to
approximate natural orbital functionals (NOFs), emphasizing their significance in quantum …
approximate natural orbital functionals (NOFs), emphasizing their significance in quantum …
Machine learning electronic structure methods based on the one-electron reduced density matrix
The theorems of density functional theory (DFT) establish bijective maps between the local
external potential of a many-body system and its electron density, wavefunction and …
external potential of a many-body system and its electron density, wavefunction and …
Quantum simulation of bosons with the contracted quantum eigensolver
Y Wang, LAM Sager-Smith… - New Journal of Physics, 2023 - iopscience.iop.org
Quantum computers are promising tools for simulating many-body quantum systems due to
their potential scaling advantage over classical computers. While significant effort has been …
their potential scaling advantage over classical computers. While significant effort has been …
Machine learning the derivative discontinuity of density-functional theory
Abstract Machine learning is a powerful tool to design accurate, highly non-local, exchange-
correlation functionals for density functional theory. So far, most of those machine learned …
correlation functionals for density functional theory. So far, most of those machine learned …
Extracting many-body quantum resources within one-body reduced density matrix functional theory
Quantum Fisher information (QFI) is a central concept in quantum sciences used to quantify
the ultimate precision limit of parameter estimation, detect quantum phase transitions …
the ultimate precision limit of parameter estimation, detect quantum phase transitions …
Deriving density-matrix functionals for excited states
We initiate the recently proposed $ w $-ensemble one-particle reduced density matrix
functional theory ($ w $-RDMFT) by deriving the first functional approximations and illustrate …
functional theory ($ w $-RDMFT) by deriving the first functional approximations and illustrate …
Time evolution of natural orbitals in ab initio molecular dynamics
This work combines for the first time ab initio molecular dynamics (AIMD) within the Born–
Oppenheimer approximation with a global natural orbital functional (GNOF), an approximate …
Oppenheimer approximation with a global natural orbital functional (GNOF), an approximate …
Function class learning with genetic programming: Towards explainable meta learning for tumor growth functionals
Paragangliomas are rare, primarily slow-growing tumors for which the underlying growth
pattern is unknown. Therefore, determining the best care for a patient is hard. Currently, if no …
pattern is unknown. Therefore, determining the best care for a patient is hard. Currently, if no …
An exact one-particle theory of bosonic excitations: from a generalized Hohenberg–Kohn theorem to convexified N-representability
Abstract Motivated by the Penrose–Onsager criterion for Bose–Einstein condensation we
propose a functional theory for targeting low-lying excitation energies of bosonic quantum …
propose a functional theory for targeting low-lying excitation energies of bosonic quantum …