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2019

Quantum Chemistry as a Benchmark for Near-Term Quantum Computers

McCaskey, Alexander J., Parks, Zachary P., Jakowski, Jacek et al.

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We present a quantum chemistry benchmark for noisy intermediate-scale quantum computers that leverages the variational quantum eigensolver, active space reduction, a reduced unitary coupled cluster ansatz, and reduced density purification as error mitigation.

We demonstrate this benchmark on the 20 qubit IBM Tokyo and 16 qubit Rigetti Aspen processors via the simulation of alkali metal hydrides (NaH, KH, RbH),with accuracy of the computed ground state energy serving as the primary benchmark metric.
We further parameterize this benchmark suite on the trial circuit type, the level of symmetry reduction, and error mitigation strategies.
Our results demonstrate the characteristically high noise level present in near-term superconducting hardware, but provide a relevant baseline for future improvement of the underlying hardware, and a means for comparison across near-term hardware types.

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