Paraparticle emulation on a superconducting qubit lattice, Part 2

ORAL

Abstract

The statistics of indistinguishable particles are typically classified as having either Bose-Einstein or Fermi-Dirac statistics. Unconventional statistics, such as anyonic or non-Abelian statistics, are an active area of research, but are generally limited to two-dimensional space. Paraparticles are a new class of particle types with novel statistics not limited by their spatial dimension, which have been recently theoretically proposed [1]. In this talk, we discuss a method to emulate a type of paraparticle using a two-dimensional superconducting qubit lattice. We leverage common features of superconducting qubits, such as parametric coupling and ZZ-interactions, to realize the paraparticle Hamiltonian. In this second part of a two-part talk, we discuss further experiments that probe fundamental paraparticle physics, including two-particle interference and thermalization.

[1] Z. Wang and K. R. A. Hazzard., Particle exchange statistics beyond fermions and bosons, Nature (London) 637, 314 (2025).

*This research was funded in part by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum System Accelerator (QSA); in part by the Army Research Office Grant W911NF-23-1-0045; and in part 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.

Presenters

  • Gyunghun Kim

    • Massachusetts Institute of Technology

Authors

  • Gyunghun Kim

    • Massachusetts Institute of Technology
  • Cora N Barrett

    • Massachusetts Institute of Technology
  • Sarah Muschinske

    • Massachusetts Institute of Technology
  • Helin Zhang

    • Massachusetts Institute of Technology
  • Junyoung An

    • Massachusetts Institute of Technology
  • Rabindra Das

    • MIT Lincoln Laboratory
    • Massachusetts Institute of Technology MIT
  • David K Kim

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab
  • Bethany M Niedzielski

    • MIT Lincoln Laboratory
  • Meghan Schuldt

    • MIT Lincoln Laboratory
  • Jonilyn L Yoder

    • MIT Lincoln Laboratory
  • Kyle Serniak

    • MIT Lincoln Laboratory
  • Mollie E. Schwartz

    • MIT Lincoln Laboratory
  • Jeffrey A Grover

    • Massachusetts Institute of Technology
  • Max Hays

    • Massachusetts Institute of Technology
  • William D Oliver

    • Massachusetts Institute of Technology