Hybrid Quantum-Classical Approach to Molecular Excited States On Superconducting Qubits

ORAL

Abstract

Quantum computers promise to dramatically advance our understanding of correlated quantum systems. Unfortunately, many proposed algorithms have resource requirements not yet suitable for near-term quantum devices. The variational quantum eigensolver (VQE) is a recently proposed hybrid quantum-classical method for solving eigenvalue problems and more generic minimizations on a quantum device leveraging classical resources to minimize coherence time requirements. However, this algorithm has so far focused only on the quantum ground state and has almost exclusively been studied in ideal closed system conditions. We briefly review the original VQE approach and introduce a simple extension requiring no additional coherence time to approximate excited states. Moreover, we show how the same method can be used to mitigate the effects of noise in a real system and how this algorithm can be applied in practice on a superconducting qubit architecture.

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Authors

  • Jarrod McClean

    • Computational Research Division, Lawrence Berkeley National Laboratory

  • Mollie Schwartz

    • Quantum Nanoelectronics Laboratory, UC Berkeley
    • Quantum Nanoelectronics Laboratory, University of California, Berkeley

  • Chris Macklin

    • Quantum Nanoelectronics Laboratory, UC Berkeley
    • Quantum Nanoelectronics Laboratory, UC Berkeley; Computational Research Division, Lawrence Berkeley National Laboratory
    • Quantum Nanoelectronics Laboratory, University of California, Berkeley

  • Irfan Siddiqi

    • Quantum Nanoelectronics Laboratory, UC Berkeley
    • Univ of California - Berkeley
    • Department of Physics, UC Berkeley
    • University of California, Berkeley
    • Quantum Nanoelectronics Laboratory, UC Berkeley; Materials Sciences Division, Lawrence Berkeley National Laboratory
    • Quantum Nanoelectronics Laboratory, University of California, Berkeley

  • Jonathan Carter

    • Computational Research Division, Lawrence Berkeley National Laboratory

  • Wibe de Jong

    • Computational Research Division, Lawrence Berkeley National Laboratory