Sequential optical response suppression for chemical mixture characterization
arXiv:2010.13859 · doi:10.22331/q-2022-01-20-626
Abstract
The characterization of mixtures of non-interacting, spectroscopically similar quantum components has important applications in chemistry, biology, and materials science. We introduce an approach based on quantum tracking control that allows for determining the relative concentrations of constituents in a quantum mixture, using a single pulse which enhances the distinguishability of components of the mixture and has a length that scales linearly with the number of mixture constituents. To illustrate the method, we consider two very distinct model systems: mixtures of diatomic molecules in the gas phase, as well as solid-state materials composed of a mixture of components. A set of numerical analyses are presented, showing strong performance in both settings.
References in corpus (13)
- Optimal control technique for Many Body Quantum Systems dynamics
- High harmonic imaging of ultrafast many-body dynamics in strongly correlated systems
- High-Harmonic Generation in Mott Insulators
- A six-octave optical frequency comb from a scalable few-cycle erbium fiber laser
- High-brightness seven-octave carrier envelope phase-stable light source
- Controlling the Dynamics of Many-Electron Systems from First Principles: A Marriage of Optimal Control and Time-Dependent Density-Functional Theory
- Digital quantum simulation of molecular dynamics and control
- Driven Imposters: Controlling Expectations in Many-Body Systems
- Making Distinct Dynamical Systems Appear Spectrally Identical
- Singularity-free quantum tracking control of molecular rotor orientation
- Controlling Arbitrary Observables in Correlated Many-body Systems
- Accelerating ultrafast spectroscopy with compressive sensing
- Dispersion Characterization and Pulse Prediction with Machine Learning
Cited by in corpus (4)
- Optical Distinguishability of Mott Insulators in Time vs Frequency Domain
- Quantum tracking control of the orientation of symmetric top molecules
- Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints
- Tuning the terahertz response of liquids by creating polar many-body excitations