Ultrafast Molecular Frame Quantum Tomography
- URL: http://arxiv.org/abs/2303.03558v1
- Date: Mon, 6 Mar 2023 23:55:21 GMT
- Title: Ultrafast Molecular Frame Quantum Tomography
- Authors: Luna Morrigan, Simon P. Neville, Margaret Gregory, Andrey E.
Boguslavskiy, Ruaridh Forbes, Iain Wilkinson, Rune Lausten, Albert Stolow,
Michael S. Schuurman, Paul Hockett, Varun Makhija
- Abstract summary: methodology for a full molecular frame quantum tomography (MFQT) of dynamical polyatomic systems is developed.
MFQT provides new routes to the study of ultrafast molecular dynamics, information processing, metrology and optimal control schemes.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: A methodology for a full molecular frame quantum tomography (MFQT) of
dynamical polyatomic systems is developed, and applied to fully characterize a
non-adiabatc electronic wavepacket in ammonia molecules (NH$_3$). The method
exploits both energy and time-domain spectroscopic data, and yields the lab
frame density matrix (LFDM) for the system, the elements of which are
populations and coherences fully characterising the electronic and vibrational
dynamics in the molecular frame. Beyond characterizing the system, time and
orientation angle dependent expectation values of any relevant operator may be
constructed using the LFDM. For example, the time-dependent molecular frame
electronic probability density may be constructed, yielding information on
charge flow in the molecular frame, and entanglement within the system can be
determined. In general MFQT provides new routes to the study of ultrafast
molecular dynamics, information processing, metrology and optimal control
schemes.
Related papers
- Time resolved quantum tomography in molecular spectroscopy by the Maximal Entropy Approach [1.7563879056963012]
A fundamental question emerges: what role, if any, do quantum coherences between molecular electron states play in photochemical reactions?
The Maximal Entropy (MaxEnt) based Quantum State Tomography (QST) approach offers unique advantages in studying molecular dynamics.
We present two methodologies for constructing these operators: one leveraging Molecular Angular Distribution Moments (MADMs) which accurately capture the orientation-dependent vibronic dynamics of molecules.
We achieve a groundbreaking milestone by constructing, for the first time, the entanglement entropy of the electronic subsystem: a metric that was previously inaccessible.
arXiv Detail & Related papers (2024-07-23T16:43:01Z) - Data-Efficient Molecular Generation with Hierarchical Textual Inversion [48.816943690420224]
We introduce Hierarchical textual Inversion for Molecular generation (HI-Mol), a novel data-efficient molecular generation method.
HI-Mol is inspired by the importance of hierarchical information, e.g., both coarse- and fine-grained features, in understanding the molecule distribution.
Compared to the conventional textual inversion method in the image domain using a single-level token embedding, our multi-level token embeddings allow the model to effectively learn the underlying low-shot molecule distribution.
arXiv Detail & Related papers (2024-05-05T08:35:23Z) - Machine-learned molecular mechanics force field for the simulation of
protein-ligand systems and beyond [33.54862439531144]
Development of reliable and molecular mechanics (MM) force fields is indispensable for biomolecular simulation and computer-aided drug design.
We introduce a generalized and machine-learned MM force field, ttexttespaloma-0.3, and an end-to-end differentiable framework using graph neural networks.
The force field reproduces quantum chemical energetic properties of chemical domains highly relevant to drug discovery, including small molecules, peptides, and nucleic acids.
arXiv Detail & Related papers (2023-07-13T23:00:22Z) - Towards Predicting Equilibrium Distributions for Molecular Systems with
Deep Learning [60.02391969049972]
We introduce a novel deep learning framework, called Distributional Graphormer (DiG), in an attempt to predict the equilibrium distribution of molecular systems.
DiG employs deep neural networks to transform a simple distribution towards the equilibrium distribution, conditioned on a descriptor of a molecular system.
arXiv Detail & Related papers (2023-06-08T17:12:08Z) - A Laboratory Frame Density Matrix for Ultrafast Quantum Molecular
Dynamics [0.0]
In most cases the ultrafast dynamics of resonantly excited molecules are considered, and almost always computed in the molecular frame.
Here we provide a formalism in terms of a lab frame density matrix which connects quantum dynamics in the molecular frame to those in the laboratory frame.
arXiv Detail & Related papers (2022-09-23T18:08:44Z) - Accurate Machine Learned Quantum-Mechanical Force Fields for
Biomolecular Simulations [51.68332623405432]
Molecular dynamics (MD) simulations allow atomistic insights into chemical and biological processes.
Recently, machine learned force fields (MLFFs) emerged as an alternative means to execute MD simulations.
This work proposes a general approach to constructing accurate MLFFs for large-scale molecular simulations.
arXiv Detail & Related papers (2022-05-17T13:08:28Z) - Visualizing spinon Fermi surfaces with time-dependent spectroscopy [62.997667081978825]
We propose applying time-dependent photo-emission spectroscopy, an established tool in solid state systems, in cold atom quantum simulators.
We show in exact diagonalization simulations of the one-dimensional $t-J$ model that the spinons start to populate previously unoccupied states in an effective band structure.
The dependence of the spectral function on the time after the pump pulse reveals collective interactions among spinons.
arXiv Detail & Related papers (2021-05-27T18:00:02Z) - 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) - 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) - Accelerated Simulations of Molecular Systems through Learning of their
Effective Dynamics [4.276697874428501]
We present a novel framework to advance simulation by up to three orders of magnitude.
LED learns the effective dynamics of molecular systems.
We demonstrate the effectiveness of LED in the M"ueller-Brown potential, the Trp Cage protein, and the alanine dipeptide.
arXiv Detail & Related papers (2021-02-17T15:15:37Z)
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.