Non-Adiabatic Ring Polymer Molecular Dynamics with Spin Mapping
Variables
- URL: http://arxiv.org/abs/2103.14119v1
- Date: Thu, 25 Mar 2021 20:19:49 GMT
- Title: Non-Adiabatic Ring Polymer Molecular Dynamics with Spin Mapping
Variables
- Authors: Duncan Bossion, Sutirtha N. Chowdhury, and Pengfei Huo
- Abstract summary: We present a new non-adiabatic ring polymer molecular dynamics (NRPMD) method based on the spin mapping formalism.
We derive the path-integral partition function expression using the spin coherent state basis for the electronic states and the ring polymer formalism.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We present a new non-adiabatic ring polymer molecular dynamics (NRPMD) method
based on the spin mapping formalism, which we refer to as the spin-mapping
NRPMD (SM-NRPMD) approach. We derive the path-integral partition function
expression using the spin coherent state basis for the electronic states and
the ring polymer formalism for the nuclear degrees of freedom (DOFs). This
partition function provides an efficient sampling of the quantum statistics.
Using the basic property of the Stratonovich-Weyl transformation, we derive a
Hamiltonian which we propose for the dynamical propagation of the coupled spin
mapping variables and the nuclear ring polymer. The accuracy of the SM-NRPMD
method is numerically demonstrated by computing nuclear position and population
auto-correlation functions of non-adiabatic model systems. The results from
SM-NRPMD agree very well with the numerically exact results. The main advantage
of using the spin mapping variables over the harmonic oscillator mapping
variables is numerically demonstrated, where the former provides nearly
time-independent expectation values of physical observables for systems under
thermal equilibrium, the latter can not preserve the initial quantum Boltzmann
distribution. We also explicitly demonstrate that SM-NRPMD provides invariant
dynamics upon various ways of partitioning the state-dependent and
state-independent potentials.
Related papers
- Latent Space Energy-based Neural ODEs [73.01344439786524]
This paper introduces a novel family of deep dynamical models designed to represent continuous-time sequence data.
We train the model using maximum likelihood estimation with Markov chain Monte Carlo.
Experiments on oscillating systems, videos and real-world state sequences (MuJoCo) illustrate that ODEs with the learnable energy-based prior outperform existing counterparts.
arXiv Detail & Related papers (2024-09-05T18:14:22Z) - Estimating Eigenenergies from Quantum Dynamics: A Unified
Noise-Resilient Measurement-Driven Approach [0.0]
Ground state energy estimation is one of the most promising applications of quantum computing.
We introduce a new hybrid approach that finds the eigenenergies by collecting real-time measurements and post-processing them.
arXiv Detail & Related papers (2023-06-02T18:27:16Z) - Capturing dynamical correlations using implicit neural representations [85.66456606776552]
We develop an artificial intelligence framework which combines a neural network trained to mimic simulated data from a model Hamiltonian with automatic differentiation to recover unknown parameters from experimental data.
In doing so, we illustrate the ability to build and train a differentiable model only once, which then can be applied in real-time to multi-dimensional scattering data.
arXiv Detail & Related papers (2023-04-08T07:55:36Z) - Non-adiabatic Ring Polymer Molecular Dynamics in the Phase Space of the
SU(N) Lie Group [0.0]
We derive the spin mapping non-adiabatic RPMD (SM-NRPMD) approach in the phase space of the SU(N) Lie Group.
We numerically compute the Kubo-transformed position auto-correlation function and electronic population correlation function for three-state model systems.
We envision that the SM-NRPMD method will be a powerful approach to simulate electronic non-adiabatic dynamics and nuclear quantum effects accurately.
arXiv Detail & Related papers (2022-11-07T16:46:46Z) - Probing dynamics of a two-dimensional dipolar spin ensemble using single
qubit sensor [62.997667081978825]
We experimentally investigate individual spin dynamics in a two-dimensional ensemble of electron spins on the surface of a diamond crystal.
We show that this anomalously slow relaxation rate is due to the presence of strong dynamical disorder.
Our work paves the way towards microscopic study and control of quantum thermalization in strongly interacting disordered spin ensembles.
arXiv Detail & Related papers (2022-07-21T18:00:17Z) - Calculating non-linear response functions for multi-dimensional
electronic spectroscopy using dyadic non-Markovian quantum state diffusion [68.8204255655161]
We present a methodology for simulating multi-dimensional electronic spectra of molecular aggregates with coupling electronic excitation to a structured environment.
A crucial aspect of our approach is that we propagate the NMQSD equation in a doubled system Hilbert space but with the same noise.
arXiv Detail & Related papers (2022-07-06T15:30:38Z) - Entanglement Features of Random Neural Network Quantum States [0.0]
We develop an analytic method to study quantum many-body spin states encoded by random RBMs.
We discover qualitatively distinct wave functions by varying RBM parameters, which correspond to distinct phases in the equivalent statistical mechanics model.
arXiv Detail & Related papers (2022-02-28T19:00:03Z) - Dispersive readout of molecular spin qudits [68.8204255655161]
We study the physics of a magnetic molecule described by a "giant" spin with multiple $d > 2$ spin states.
We derive an expression for the output modes in the dispersive regime of operation.
We find that the measurement of the cavity transmission allows to uniquely determine the spin state of the qudits.
arXiv Detail & Related papers (2021-09-29T18:00:09Z) - Realistic simulations of spin squeezing and cooperative coupling effects
in large ensembles of interacting two-level systems [0.0]
We describe an efficient numerical method for simulating the dynamics of interacting spin ensembles in the presence of dephasing and decay.
This opens up the possibility to perform accurate real-scale simulations of a diverse range of experiments in quantum optics or with solid-state spin ensembles under realistic laboratory conditions.
arXiv Detail & Related papers (2021-04-30T18:00:00Z) - Controlled coherent dynamics of [VO(TPP)], a prototype molecular nuclear
qudit with an electronic ancilla [50.002949299918136]
We show that [VO(TPP)] (vanadyl tetraphenylporphyrinate) is a promising system suitable to implement quantum computation algorithms.
It embeds an electronic spin 1/2 coupled through hyperfine interaction to a nuclear spin 7/2, both characterized by remarkable coherence.
arXiv Detail & Related papers (2021-03-15T21:38:41Z) - Open Quantum Dynamics Theory of Spin Relaxation: Application to $\mu$SR
and Low-Field NMR Spectroscopies [0.0]
An open quantum system refers to a system that can describe time irreversible dynamics through which the system evolves toward the thermal equilibrium state.
We present a quantum mechanically rigorous theory in order to help an analysis of spectra obtained from the advanced nuclear magnetic resonance (NMR) and muon spin rotation, relaxation or resonance techniques.
arXiv Detail & Related papers (2020-04-15T10:44:07Z)
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.