Bosonic Quantum Simulation with a Superconducting Transmon Lattice

ORAL

Abstract

Quantum simulation with superconducting qubits has largely focused on models of two-level systems such as the hard-core Bose-Hubbard model. However, this choice massively truncates the size of the accessible Hilbert space – reducing the complexity of computation and preventing quantum information from being stored in the higher levels of the system. In this talk, we will discuss the feasibility of performing multi-level analog quantum simulation of the Bose-Hubbard model using superconducting transmon qudits. This approach offers several advantages, including efficient emulation of time evolution, reduced leakage from the computational subspace, and a wider range of Hamiltonian parameter values represented by the model. However, with these improvements comes increased complexity in readout and tomography protocols. We will give an overview of the design and control of transmon-based Bose-Hubbard emulators. We consider contributions to decoherence and decay of these higher excited states and discuss their impact on many-body behavior. Finally, we will give an outlook for future experiments as we move towards meaningful quantum advantage on noisy intermediate-scale quantum hardware.

* S.M. is supported by a NASA Space Technology Research Fellowship. This work is supported in part by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator; by the Defense Advanced Research Projects Agency under the Quantum Benchmarking contract; and by the U.S. Department of Energy under Air Force Contract No. FA8702-15-D-0001. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.

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Presenters

  • Sarah Muschinske

    Massachusetts Institute of Technology MI, Massachusetts Institute of Technology

Authors

  • Sarah Muschinske

    Massachusetts Institute of Technology MI, Massachusetts Institute of Technology

  • Miguel S Moreira

    Massachusetts Institute of Technology, QuTech and Kavli Institute of Nanoscience, Delft University of Technology

  • Kasper Poulsen

    Aarhus University

  • Ilan T Rosen

    Massachusetts Institute of Technology

  • Cora N Barrett

    Wellesley College, Massachusetts Institute of Technology

  • Patrick M Harrington

    Massachusetts Institute of Technology MI, Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology MIT

  • Rabindra Das

    Massachusetts Institute of Technology MIT, MIT Lincoln Laboratory

  • David K Kim

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Bethany M Niedzielski

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Jonilyn L Yoder

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Mollie E Schwartz

    MIT Lincoln Laboratory

  • Kyle Serniak

    MIT Lincoln Laboratory & MIT RLE, MIT Lincoln Laboratory, MIT Lincoln Laboratory, MIT RLE

  • Jeffrey A Grover

    Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology MIT

  • William D Oliver

    Massachusetts Institute of Technology MI, Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology MIT