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Updated: Oct 19, 2025

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
Published on: May 27, 2020
Computing molecular excited states on a D-Wave quantum annealer.
Alexander Teplukhin1, Brian K Kendrick1, Susan M Mniszewski2
1Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
Quantum annealers can now calculate molecular excited electronic states using time-dependent Hartree-Fock and density-functional theory methods. This quantum computing approach aids research in photovoltaics and nanoscience.
Area of Science:
- Quantum computing
- Computational chemistry
- Molecular modeling
Background:
- Quantum computing offers new possibilities for electronic structure calculations.
- Quantum annealers, a type of adiabatic quantum computer, have potential yet to be fully explored.
- Simulating excited electronic states is crucial for fields like photovoltaics and nanoscience.
Purpose of the Study:
- To demonstrate the use of a D-Wave quantum annealer for calculating excited electronic states of molecular systems.
- To apply quantum annealing to solve eigenvalue equations derived from TDHF and TDDFT within the TDA.
- To assess the capability of quantum annealers for molecular excited state simulations.
Main Methods:
- Utilized a D-Wave quantum annealer to solve Tamm-Dancoff approximation (TDA) eigenvalue equations.
- Employed time-dependent Hartree-Fock (TDHF) and time-dependent density-functional theory (TDDFT) methods.
- Used the previously developed Quantum Annealer Eigensolver (QAE) for calculations.
Main Results:
- Successfully reproduced basis set convergence for the [Formula: see text] molecule.
- Calculated transition dipole moments and oscillator strengths for molecular systems.
- Computed excited state potential energy profiles for [Formula: see text] as a function of geometry.
Conclusions:
- Quantum annealers are viable tools for calculating molecular excited electronic states.
- The accuracy of quantum annealing results depends on the underlying meta-heuristic software (qbsolv).
- This quantum approach advances computational chemistry for materials science applications.
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