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Benchmarking Adaptive Variational Quantum Eigensolvers

ORAL

Abstract

The variational quantum eigensolver (VQE) is one of the cornerstones of simulations of quantum systems in noisy intermediate-scale quantum devices. Formulations based on established many-body methods tend to map onto unattainable circuit depths, often alleviated by somewhat arbitrary approximations, while amenable implementations typically lose the intuitive connection to their many-body formalism. Novel adaptive variants of VQE are worthy prospect avenues, with potentially shallower circuits, yet at the expense of more measurements. In this work we provide a comprehensive benchmark of the adaptive derivative-assembled pseudo-Trotter (ADAPT) VQE algorithm for the H2, NaH, and KH molecules, assessing the aptness of the prepared state and its corresponding energy compared to exact diagonalization, which are accompanied by the respective measurement and circuit depth estimates. There is much to be understood about these algorithms and these noiseless simulations pave the way to a better understanding of how they work and constitute the reference figures for future studies in noisy settings and hardware deployment.

Presenters

  • Daniel Claudino

    Oak Ridge National Lab

Authors

  • Daniel Claudino

    Oak Ridge National Lab

  • Jerimiah Wright

    Oak Ridge National Lab

  • Alexander J McCaskey

    Oak Ridge National Lab

  • Travis S Humble

    Oak Ridge National Lab, Quantum Computing Institute, Oak Ridge National Laboratory, Oak Ridge National Laboratory, Quantum Computational Sciences Group, Oak Ridge National Laboratory, University of Tennessee