Sequential optical response suppression for chemical mixture characterization Article Swipe

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Alicia Magann , Gerard McCaul , Herschel Rabitz , Denys I. Bondar ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.22331/q-2022-01-20-626

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.

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Computational Physics

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Characterization (materials science) Diatomic molecule Quantum Quantum chemistry Molecule Set (abstract data type) Pulse (music) Statistical physics Quantum chemical Relative phase Chemical physics Biological system Phase (matter) Materials science Computational physics Physics Computer science Nanotechnology Quantum mechanics Biology Voltage Programming language Supramolecular chemistry

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Type: article
Language: en
Landing Page: https://doi.org/10.22331/q-2022-01-20-626
PDF: https://quantum-journal.org/papers/q-2022-01-20-626/pdf/
OA Status: gold
Cited By: 10
References: 49
Related Works: 10
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DOI: https://doi.org/10.22331/q-2022-01-20-626

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Title: Sequential optical response suppression for chemical mixture characterization

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Language: en

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Publication year: 2022

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Publication date: 2022-01-20

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Authors: Alicia Magann, Gerard McCaul, Herschel Rabitz, Denys I. Bondar

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Landing page: https://doi.org/10.22331/q-2022-01-20-626

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Concepts: Characterization (materials science), Diatomic molecule, Quantum, Quantum chemistry, Molecule, Set (abstract data type), Pulse (music), Statistical physics, Quantum chemical, Relative phase, Chemical physics, Biological system, Phase (matter), Materials science, Computational physics, Physics, Computer science, Nanotechnology, Quantum mechanics, Biology, Voltage, Programming language, Supramolecular chemistry

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Cited by: 10

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Citations by year (recent): 2025: 2, 2024: 1, 2023: 5, 2022: 2

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