PIRSA:18030078

Experimentally Probing Topological Order and Its Breakdown via Modular Matrices

APA

Wan, Y. (2018). Experimentally Probing Topological Order and Its Breakdown via Modular Matrices. Perimeter Institute for Theoretical Physics. https://pirsa.org/18030078

MLA

Wan, Yidun. Experimentally Probing Topological Order and Its Breakdown via Modular Matrices. Perimeter Institute for Theoretical Physics, Mar. 06, 2018, https://pirsa.org/18030078

BibTex

          @misc{ scivideos_PIRSA:18030078,
            doi = {10.48660/18030078},
            url = {https://pirsa.org/18030078},
            author = {Wan, Yidun},
            keywords = {Quantum Matter},
            language = {en},
            title = {Experimentally Probing Topological Order and Its Breakdown via Modular Matrices},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2018},
            month = {mar},
            note = {PIRSA:18030078 see, \url{https://scivideos.org/pirsa/18030078}}
          }
          

Yidun Wan Fudan University

Talk numberPIRSA:18030078
Source RepositoryPIRSA
Collection

Abstract

The modern conception of phases of matter has undergone tremendous developments since the first observation of topologically ordered states in fractional quantum Hall systems in the 1980s. In this paper, we explore the question: In principle, how much detail of the physics of topological orders can be observed using state of the art technologies? We find that using surprisingly little data, namely the toric code Hamiltonian in the presence of generic disorders and detuning from its exactly solvable point, the modular matrices -- characterizing anyonic statistics that are some of the most fundamental fingerprints of topological orders -- can be reconstructed with very good accuracy solely by experimental means. This is a first experimental realization of these fundamental signatures of a topological order, a test of their robustness against perturbations, and a proof of principle -- that current technologies have attained the precision to identify phases of matter and, as such, probe an extended region of phase space around the soluble point before its breakdown. Given the special role of anyonic statistics in quantum computation, our work promises myriad applications in both probing and realistically harnessing these exotic phases of matter.