Repository for Publications and Research Data (ETH Zurich) · 2020 · 186 citations · 33 references
Natural SciencesChemistryPhysicsComputational ChemistryQuantum ComputingQuantum MechanicsComputational Quantum ChemistryComputational Quantum MechanicsMolecular Quantum MechanicsQuantum AlgorithmsQuantum ComputationQuantum SimulationComputational PhotochemistryEquation-of-motion Excitation EnergiesExcitationExcited State CalculationsQuantum Chemical ModelingQuantum Chemistry SimulationStrongly Correlated SystemsVariational Quantum Algorithms
The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the classical computing resources needed for this task scale poorly, quantum algorithms emerge as promising alternatives. In particular, the extension of the variational quantum eigensolver algorithm to the computation of the excitation energies is an attractive option. However, there is currently a lack of such algorithms for correlated molecular systems that is amenable to near-term, noisy hardware. In this work, we propose an extension of the well-established classical equation of motion approach to a quantum algorithm for the calculation of molecular excitation energies on noisy quantum computers. In particular, we demonstrate the efficiency of this approach in the calculation of the excitation energies of the LiH molecule on an IBM Quantum computer.
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SciPy 1.0: fundamental algorithms for scientific computing in Python
Nature Methods · 2020 · 37.9K citations · Full text
A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod R. McClean, Peter Shadbolt et al. · Nature Communications · 2014 · 4.6K citations · Full text
Natural Sciences, Chemistry, Physics +17
Coupled-cluster theory in quantum chemistry
Rodney J. Bartlett, Monika Musiał · Reviews of Modern Physics · 2007 · 3.4K citations
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Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Abhinav Kandala, Antonio Mezzacapo, Kristan Temme et al. · Nature · 2017 · 3K citations · Full text
Natural Sciences, Chemistry, Physics +14