Real-space entanglement spectra of parton states in fractional quantum Hall systems

TL;DR

This paper numerically computes the real-space entanglement spectra of non-Abelian fractional quantum Hall states constructed via parton theory, revealing their topological order and edge excitation structure.

Contribution

It introduces an efficient Monte Carlo method to compute RSES of parton states, demonstrating their correspondence with edge current algebra representations.

Findings

RSES spectra match edge current algebra predictions

Spectra computed for systems up to 80 particles

Counting of edge excitations matches RSES branches

Abstract

Real-space entanglement spectra (RSES) capture characteristic features of the topological order encoded in the fractional quantum Hall (FQH) states. In this work, we numerically compute, using Monte Carlo methods, the RSES and the counting of edge excitations of non-Abelian FQH states constructed using the parton theory. Efficient numerical computation of RSES of parton states is possible, thanks to their product-of-Slater-determinant structure, allowing us to compute the spectra in systems of up to 80 particles. Specifically, we compute the RSES of the parton states $\phi_2^2$, $\phi_2^3$, and $\phi_3^2$, where $\phi_n$ is the wave function of $n$ filled Landau levels, in the ground state as well as in the presence of bulk quasihole states. We then explicitly demonstrate a one-to-one correspondence of RSES of the parton states with representations of the Kac-Moody algebras satisfied by their edge currents. We also show that for the lowest Landau level projected version of these parton states, the spectra match with that obtained from the edge current algebra. We also perform a computation of spectra of the overlap matrices corresponding to the edge excitations of the parton states with a constrained number of particles in the different parton Landau levels. Counting in these matches the individual branches present in RSES, providing insight about how different branches are formed.