Condensed Matter > Mesoscale and Nanoscale Physics
[Submitted on 8 Mar 2016 (v1), last revised 18 Apr 2017 (this version, v3)]
Title:Quantum many-body simulation using monolayer exciton-polaritons in coupled-cavities
View PDFAbstract:Quantum simulation is a promising approach to understand complex strongly correlated many-body systems using relatively simple and tractable systems. Photon-based quantum simulators have great advantages due to the possibility of direct measurements of multi-particle correlations and ease of simulating non-equilibrium physics. However, interparticle interaction in existing photonic systems is often too weak limiting the potential of quantum simulation. Here we propose an approach to enhance the interparticle interaction using exciton-polaritons in MoS$_2$ monolayer quantum-dots embedded in 2D photonic crystal microcavities. Realistic calculation yields optimal repulsive interaction in the range of $1$-$10$~meV --- more than an order of magnitude greater than the state-of-art value. Such strong repulsive interaction is found to emerge neither in the photon-blockade regime for small quantum dot nor in the polariton-blockade regime for large quantum dot, but in the crossover between the two regimes with a moderate quantum-dot radius around 20~nm. The optimal repulsive interaction is found to be largest in MoS$_2$ among commonly used optoelectronic materials. Quantum simulation of strongly correlated many-body systems in a finite chain of coupled cavities and its experimental signature are studied via exact diagonalization of the many-body Hamiltonian. A method to simulate 1D superlattices for interacting exciton-polariton gases in serially coupled cavities is also proposed. Realistic considerations on experimental realizations reveal advantages of transition metal dichalcogenide monolayer quantum-dots over conventional semiconductor quantum-emitters.
Submission history
From: Jian-Hua Jiang [view email][v1] Tue, 8 Mar 2016 06:46:56 UTC (1,154 KB)
[v2] Tue, 4 Apr 2017 22:19:14 UTC (1,285 KB)
[v3] Tue, 18 Apr 2017 23:08:26 UTC (1,307 KB)
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