%0 Generic %1 barron2020preserving %A Barron, George S. %A Gard, Bryan T. %A Altman, Orien J. %A Mayhall, Nicholas J. %A Barnes, Edwin %A Economou, Sophia E. %D 2020 %K quantumcomputing %T Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise %U http://arxiv.org/abs/2003.00171 %X One of the most promising applications of noisy intermediate-scale quantum computers is the simulation of molecular Hamiltonians using the variational quantum eigensolver. We show that encoding symmetries of the simulated Hamiltonian in the VQE ansatz reduces both classical and quantum resources compared to other, widely available ansatze. Through simulations of the H$_2$ molecule, we verify that these improvements persist in the presence of noise. This simulation is performed with IBM software using noise models from real devices. We also demonstrate how these techniques can be used to find molecular excited states of various symmetries using a noisy processor. We use error mitigation techniques to further improve the quality of our results.

@misc{barron2020preserving, abstract = {One of the most promising applications of noisy intermediate-scale quantum computers is the simulation of molecular Hamiltonians using the variational quantum eigensolver. We show that encoding symmetries of the simulated Hamiltonian in the VQE ansatz reduces both classical and quantum resources compared to other, widely available ansatze. Through simulations of the H$_2$ molecule, we verify that these improvements persist in the presence of noise. This simulation is performed with IBM software using noise models from real devices. We also demonstrate how these techniques can be used to find molecular excited states of various symmetries using a noisy processor. We use error mitigation techniques to further improve the quality of our results.}, added-at = {2020-05-12T15:31:21.000+0200}, author = {Barron, George S. and Gard, Bryan T. and Altman, Orien J. and Mayhall, Nicholas J. and Barnes, Edwin and Economou, Sophia E.}, biburl = {https://www.bibsonomy.org/bibtex/26276c30ba98e1c0a66a46c36b66494fa/cmcneile}, description = {Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise}, interhash = {d286fd66006d683de868390cef1368bc}, intrahash = {6276c30ba98e1c0a66a46c36b66494fa}, keywords = {quantumcomputing}, note = {cite arxiv:2003.00171}, timestamp = {2020-05-12T15:31:21.000+0200}, title = {Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise}, url = {http://arxiv.org/abs/2003.00171}, year = 2020 }