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Molecular Spectroscopy: Absorption and Emission01:14

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Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
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In Ultraviolet–Visible (UV–Vis) spectroscopy, the absorption of electromagnetic radiation is used to probe the electronic structure of molecules. This technique provides insights into molecular electronic transitions, particularly the movement of electrons between different molecular orbitals. Radiation is absorbed if the energy of the electromagnetic radiation passing through the molecule is precisely equal to the energy difference between the excited and ground states. During this...
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Molecular Resonance Identification in Complex Absorbing Potentials via Integrated Quantum Computing and

Jingcheng Dai1, Atharva Vidwans1,2, Eric H Wan3,4

  • 1Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States.

Journal of Chemical Theory and Computation
|March 9, 2026
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Summary
This summary is machine-generated.

This study introduces qDRIVE, a hybrid quantum-classical algorithm for molecular resonance identification. It accelerates computation by combining quantum and high-throughput computing, enabling faster discovery in chemistry.

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Area of Science:

  • Computational Chemistry
  • Quantum Computing
  • Quantum Algorithms

Background:

  • Accelerating molecular resonance state identification is crucial for advancements in computational chemistry.
  • Current methods face limitations in speed and scalability for complex molecular systems.

Purpose of the Study:

  • To develop and present a novel hybrid quantum-classical algorithm, qDRIVE, for efficient molecular resonance identification.
  • To demonstrate the capability of qDRIVE in identifying resonance energies and wave functions.

Main Methods:

  • The qDRIVE algorithm combines quantum computing with classical high-throughput computing (HTC).
  • It utilizes the complex absorbing potential formalism to break down resonance identification into variational quantum eigensolver tasks.
  • HTC resources are employed for asynchronous and parallel execution of these tasks, minimizing computation time.

Main Results:

  • qDRIVE successfully identified resonance energies and wave functions in simulated quantum processors.
  • The hybrid approach demonstrated a significant reduction in wall time for completion.
  • The algorithm's performance is validated on current and planned quantum computing specifications.

Conclusions:

  • The qDRIVE algorithm offers a powerful new approach for molecular resonance identification.
  • Integrated heterogeneous quantum computing and HTC strategies show great potential for computational chemistry.
  • This method is applicable to fields such as photocatalysis and quantum control.