Ab initio electron-lattice downfolding: potential energy landscapes,
anharmonicity, and molecular dynamics in charge density wave materials
- URL: http://arxiv.org/abs/2303.07261v3
- Date: Tue, 16 Jan 2024 14:38:46 GMT
- Title: Ab initio electron-lattice downfolding: potential energy landscapes,
anharmonicity, and molecular dynamics in charge density wave materials
- Authors: Arne Schobert, Jan Berges, Erik G. C. P. van Loon, Michael A. Sentef,
Sergey Brener, Mariana Rossi, and Tim O. Wehling
- Abstract summary: Computational challenges arise especially for large systems, long time scales, in nonequilibrium, or in systems with strong correlations.
We show how downfolding approaches facilitate complexity reduction on the electronic side and thereby boost the simulation of electronic properties and nuclear motion.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The interplay of electronic and nuclear degrees of freedom presents an
outstanding problem in condensed matter physics and chemistry. Computational
challenges arise especially for large systems, long time scales, in
nonequilibrium, or in systems with strong correlations. In this work, we show
how downfolding approaches facilitate complexity reduction on the electronic
side and thereby boost the simulation of electronic properties and nuclear
motion - in particular molecular dynamics (MD) simulations. Three different
downfolding strategies based on constraining, unscreening, and combinations
thereof are benchmarked against full density functional calculations for
selected charge density wave (CDW) systems, namely 1H-TaS$_2$, 1T-TiSe$_2$,
1H-NbS$_2$, and a one-dimensional carbon chain. We find that the downfolded
models can reproduce potential energy surfaces on supercells accurately and
facilitate computational speedup in MD simulations by about five orders of
magnitude in comparison to purely ab initio calculations. For monolayer
1H-TaS$_2$ we report classical replica exchange and quantum path integral MD
simulations, revealing the impact of thermal and quantum fluctuations on the
CDW transition.
Related papers
- Thermalization and Criticality on an Analog-Digital Quantum Simulator [133.58336306417294]
We present a quantum simulator comprising 69 superconducting qubits which supports both universal quantum gates and high-fidelity analog evolution.
We observe signatures of the classical Kosterlitz-Thouless phase transition, as well as strong deviations from Kibble-Zurek scaling predictions.
We digitally prepare the system in pairwise-entangled dimer states and image the transport of energy and vorticity during thermalization.
arXiv Detail & Related papers (2024-05-27T17:40:39Z) - Trapped-Ion Quantum Simulation of Electron Transfer Models with Tunable Dissipation [1.159879739037684]
We experimentally simulate a paradigmatic model of molecular electron transfer using a multi-species trapped-ion crystal.
We observe the real-time dynamics of the spin excitation, measuring the transfer rate in several regimes of adiabaticity and relaxation dynamics.
arXiv Detail & Related papers (2024-05-16T18:03:17Z) - Interpolating many-body wave functions for accelerated molecular dynamics on the near-exact electronic surface [0.0]
We develop a scheme for the correlated many-electron state through the space of atomic configurations.
We demonstrate provable convergence to near-exact potential energy surfaces for subsequent dynamics.
We combine this with modern electronic structure approaches to systematically resolve molecular dynamics trajectories.
arXiv Detail & Related papers (2024-02-16T22:03:37Z) - Orbital-Free Density Functional Theory with Continuous Normalizing Flows [54.710176363763296]
Orbital-free density functional theory (OF-DFT) provides an alternative approach for calculating the molecular electronic energy.
Our model successfully replicates the electronic density for a diverse range of chemical systems.
arXiv Detail & Related papers (2023-11-22T16:42:59Z) - CHGNet: Pretrained universal neural network potential for
charge-informed atomistic modeling [0.6860131654491484]
We present the Crystal Hamiltonian Graph neural Network (CHGNet) as a novel machine-learning interatomic potential (MLIP)
CHGNet is pretrained on the energies, forces, stresses, and magnetic moments from the Materials Project Trajectory dataset.
We provide new insights into ionic systems with additional electronic degrees of freedom that can not be observed by previous MLIPs.
arXiv Detail & Related papers (2023-02-28T01:30:06Z) - Studying chirality imbalance with quantum algorithms [62.997667081978825]
We employ the (1+1) dimensional Nambu-Jona-Lasinio (NJL) model to study the chiral phase structure and chirality charge density of strongly interacting matter.
By performing the Quantum imaginary time evolution (QITE) algorithm, we simulate the (1+1) dimensional NJL model on the lattice at various temperature $T$ and chemical potentials $mu$, $mu_5$.
arXiv Detail & Related papers (2022-10-06T17:12:33Z) - Quantum-Classical Hybrid Algorithm for the Simulation of All-Electron
Correlation [58.720142291102135]
We present a novel hybrid-classical algorithm that computes a molecule's all-electron energy and properties on the classical computer.
We demonstrate the ability of the quantum-classical hybrid algorithms to achieve chemically relevant results and accuracy on currently available quantum computers.
arXiv Detail & Related papers (2021-06-22T18:00:00Z) - Molecular spin qudits for quantum simulation of light-matter
interactions [62.223544431366896]
We show that molecular spin qudits provide an ideal platform to simulate the quantum dynamics of photon fields strongly interacting with matter.
The basic unit of the proposed molecular quantum simulator can be realized by a simple dimer of a spin 1/2 and a spin $S$ transition metal ion, solely controlled by microwave pulses.
arXiv Detail & Related papers (2021-03-17T15:03:12Z) - Machine learning dynamics of phase separation in correlated electron
magnets [0.0]
We demonstrate machine-learning enabled large-scale dynamical simulations of electronic phase separation in double-exchange system.
Our work paves the way for large-scale dynamical simulations of correlated electron systems using machine-learning models.
arXiv Detail & Related papers (2020-06-07T17:01:06Z) - Resource Efficient Chemistry on Quantum Computers with the Variational
Quantum Eigensolver and The Double Unitary Coupled-Cluster approach [0.0]
We show that the number of qubits scales linearly with the size of molecular basis.
We employ the double unitary coupled-cluster (DUCC) method to effectively downfold correlation effects into the reduced-size orbital space.
Using downfolding techniques, we demonstrate that properly constructed effective Hamiltonians can capture the effect of the whole orbital space in small-size active spaces.
arXiv Detail & Related papers (2020-04-16T15:59:15Z) - Entanglement generation via power-of-SWAP operations between dynamic
electron-spin qubits [62.997667081978825]
Surface acoustic waves (SAWs) can create moving quantum dots in piezoelectric materials.
We show how electron-spin qubits located on dynamic quantum dots can be entangled.
arXiv Detail & Related papers (2020-01-15T19:00:01Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.