Emergent quantum state designs from individual many-body wavefunctions

POSTER

Abstract

In this poster, we describe a universal phenomenon that occurs in strongly interacting many-body quantum dynamics, beyond the conventional notion of thermalization. Specifically, we point out that a single many-body wavefunction can encode a large ensemble of pure states defined on a subsystem. We analyze the statistical properties of the ensemble using a notion from quantum information theory called quantum state k-designs. We find that, across a wide range of examples, these ensembles are universal and highly random. First, we analytically prove that almost all many-body wavefunctions in Hilbert space encode ensembles sharing the same statistical properties, namely the formation of approximate k-designs. Second, we numerically establish that the same properties also arise from time-evolved states and from energy eigenstates of generic chaotic Hamiltonians at infinite temperature. The special case of our results at k=1 reproduces conventional thermalization. Our results offer a new approach for studying quantum chaos and provide a practical method for sampling approximately uniformly random states. The latter has wide-ranging applications in quantum information science from tomography to benchmarking, including a new benchmarking method that has been demonstrated in a Rydberg quantum simulator.

*This work was supported by the Institute for Quantum Information and Matter, an NSF Physics Frontiers Center (NSF Grant PHY-1733907), the NSF CAREER award (1753386), the AFOSR YIP (FA9550-19-1-0044), the DARPA ONISQ program (W911NF2010021), the Army Research Office MURI program (W911NF2010136), the NSF QLCI program (2016245), and the DOE (DE-SC0012567).

Publication: arXiv:2103.03536

Presenters

  • Daniel Mark

    • MIT

Authors

  • Jordan Cotler

    • Harvard
    • Harvard University
  • Daniel Mark

    • MIT
  • Hsin-Yuan Huang

    • Caltech
  • Felipe Hernandez

    • Stanford University
  • Joonhee Choi

    • Caltech
  • Adam L Shaw

    • Caltech
  • Manuel Endres

    • Caltech
  • Soonwon Choi

    • University of California, Berkeley