Scaling of variational quantum eigensolver performance in a superconducting quantum processor
ORAL
Abstract
The calculation of molecular energies and dynamics from first-principles is a classically intractable problem due to the exponential scaling in computational cost with both the number of atoms and the basis set size. Variational quantum-classical hybrid algorithms offer a promising route towards solving currently intractable molecular structure problems in near-term quantum processors. We experimentally quantify the scaling of convergence, speed, and accuracy of a hybrid quantum-classical variational simulation of chemical energies using a gate-based superconducting quantum processor with up to 8 qubits.
*This work was funded by Army Research Office, the Department of Energy, and the Samsung GRO program.
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Presenters
Jonathan Carter
Lawrence Berkeley National Lab
Authors
Kevin O'Brien
Univ of California – Berkeley
Univ of California - Berkeley
University of California - Berkeley
Physics, Univ of California - Berkeley
James Colless
Department of Physics, University of California, Berkeley
Univ of California - Berkeley
Physics, Univ of California - Berkeley
Vinay Ramasesh
Department of Physics, University of California Berkeley
Univ of California – Berkeley
Univ of California - Berkeley
Physics, Univ of California - Berkeley
Dar Dahlen
Univ of California – Berkeley
Univ of California - Berkeley
Physics, Univ of California - Berkeley
William Livingston
Univ of California – Berkeley
Physics, Univ of California - Berkeley
Univ of California - Berkeley
John Mark Kreikebaum
Univ of California – Berkeley
Univ of California - Berkeley
Physics, Univ of California - Berkeley
Machiel Blok
Univ of California – Berkeley
Univ of California - Berkeley
Physics, Univ of California - Berkeley
Wibe de Jong
Lawrence Berkeley National Lab
Jonathan Carter
Lawrence Berkeley National Lab
Irfan Siddiqi
Univ of California - Berkeley
Department of Physics, University of California Berkeley
Department of Physics, University of California, Berkeley