Improving chemistry calculations with virtual quantum subspace expansion

ORAL

Abstract

Accurate calculations in quantum chemistry require the use of large basis sets which amounts to a large number of molecular spin-orbitals. Each spin-orbital is typically mapped to a separate qubit. Many qubits are therefore necessary to achieve a desired accuracy. However, noisy intermediate-scale quantum computers have only a small number of qubits which limits the reach of quantum computing algorithms in quantum chemistry. A promising approach to overcome this problem is to use a quantum computer to solve only the classically hard part and a classical computer to solve the rest. A recently proposed virtual quantum subspace expansion (VQSE) method achieves this by modeling only the active space, that captures essential quantum effects, on a quantum computer. We report experimental results obtained using the VQSE algorithm to model small molecules. This work explores practical viability of hybrid quantum-classical methods in quantum computing.

*This work was supported by the Office of Advanced Scientific Computing Research, Quantum Algorithms Team Program, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.

Presenters

  • Miroslav Urbanek

    • Computational Research Division, Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Laboratory

Authors

  • Miroslav Urbanek

    • Computational Research Division, Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Laboratory
  • Wibe A De Jong

    • Computational Research Division, Lawrence Berkeley National Laboratory
    • Lawrence Berkeley National Laboratory
    • Computational Chemistry, Materials and Climate Group, Lawrence Berkeley National Laboratory