collaborators

6 papers

physics.chem-ph2026

Self-consistent double-hybrid density functional theory via one-body second-order Møller-Plesset perturbation theory and projection-based embedding

Huy Gia Bui, Lan Nguyen Tran

We present the development of self-consistent one-body double-hybrid (OBDH) density functional theory (DFT). In this approach, the one-body second-order Møller-Plesset (OBMP2) pert…

quant-ph2026

Reducing quantum resources for ADAPT-VQE via plateau-operator elimination and correlated mean-field downfolding

Phuoc Minh Vo, Thai Cong Ngoc Vu, Thien Ngoc Tran +2

Adaptive Derivative-Assembled Problem-Tailored variational quantum eigensolvers (ADAPT-VQE) represent one of the most promising approaches for quantum chemistry on near-term quantu…

physics.chem-ph2026

Note on a rigorous derivation of self-consistent double-hybrid functional theory via generalized Kohn-Sham theory and cumulant approximation

Lan Nguyen Tran

In this short note, we present a rigorous derivation of the one-body double-hybrid density functional (OBDHF) theory, a self-consistent double-hybrid density functional framework t…

physics.chem-ph2026

Accurate prediction of K-edge excitation energies using state-specific self-consistent perturbation theory

Lan Nguyen Tran

We present the application of the recently developed one-body Møller--Plesset perturbation theory (OBMP2) to the prediction of K-edge excited states. OBMP2 is a self-consistent pe…

physics.chem-ph2026

Accurate prediction of inverted singlet-triplet excited states using self-consistent spin-opposite perturbation theory

Nhan Tri Tran, Hoang Thanh Nguyen, Lan Nguyen Tran

The violation of Hund's rule, resulting in an inverted singlet-triplet (INVEST) gap, represents a paradigm shift in photophysics with major implications for OLED technology. INVEST…

quant-ph2025

Flexible Genetic Algorithm for Quantum Support Vector Machines

Nguyen Minh Duc, Vu Tuan Hai, Le Bin Ho +1

Quantum Support Vector Machines (QSVM) is one of the most promising frameworks in quantum machine learning, yet their performance depends on the design of the feature map. Conventi…