Implementation of a Quantum Variational Eigensolver in Superconducting Qubits

ORAL

Abstract

The quantum variational eigensolver (QVE) represents an efficient implementation of quantum simulation that relies on a synergy between classical and quantum computing components. In this approach, a classical computer is used to map the target Hamiltonian onto a fermionic Hilbert space and to perform a variational update of the estimated ground state. This test state is then prepared in the quantum system, enabling an efficient estimation of the expectation value of the Hamiltonian and reducing the requirements for coherent qubit evolution. We present experimental progress toward implementing a QVE in superconducting qubits, capitalizing on the flexibility and scalability of the transmon cQED architecture.

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Authors

  • Mollie Schwartz

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

  • Jarrod McClean

    Computational Research Division, Lawrence Berkeley National Laboratory

  • 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

  • Jonathan Carter

    Computational Research Division, Lawrence Berkeley National Laboratory

  • Wibe de Jong

    Computational Research Division, Lawrence Berkeley National Laboratory

  • 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