Room temperature organic exciton–polariton condensate in a lattice

Dusel, Marco; Betzold, Simon; Egorov, Oleg A.; Klembt, Sebastian; Ohmer, Jürgen; Fischer, Utz; Höfling, Sven; Schneider, Christian

doi:10.1038/s41467-020-16656-0

Cited by 74 publications

(91 citation statements)

References 38 publications

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“…Details on the model are found in the Supplementary Note 6 . Our model reveals nearest-neighbour hopping constants of ~0.2–2.7 meV, which are of similar magnitude as in previous works utilizing coupled hemispheric cavities with organic materials 27 . The corresponding real-space profile of Bloch-modes yielding the s-band formation (BM1) is plotted in Fig.…”

Section: Resultssupporting

confidence: 85%

Tunable exciton-polaritons emerging from WS2 monolayer excitons in a photonic lattice at room temperature

Lackner

Dusel²,

Egorov

et al. 2021

Nat Commun

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Engineering non-linear hybrid light-matter states in tailored lattices is a central research strategy for the simulation of complex Hamiltonians. Excitons in atomically thin crystals are an ideal active medium for such purposes, since they couple strongly with light and bear the potential to harness giant non-linearities and interactions while presenting a simple sample-processing and room temperature operability. We demonstrate lattice polaritons, based on an open, high-quality optical cavity, with an imprinted photonic lattice strongly coupled to excitons in a WS2 monolayer. We experimentally observe the emergence of the canonical band-structure of particles in a one-dimensional lattice at room temperature, and demonstrate frequency reconfigurability over a spectral window exceeding 85 meV, as well as the systematic variation of the nearest-neighbour coupling, reflected by a tunability in the bandwidth of the p-band polaritons by 7 meV. The technology presented in this work is a critical demonstration towards reconfigurable photonic emulators operated with non-linear photonic fluids, offering a simple experimental implementation and working at ambient conditions.

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Section: Resultssupporting

confidence: 85%

Tunable exciton-polaritons emerging from WS2 monolayer excitons in a photonic lattice at room temperature

Lackner

Dusel²,

Egorov

et al. 2021

Nat Commun

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“…[ 143 ] Semiconductor micropillars are promising geometries for realizing interconnected networks, [ 144 ] which can even operate at room temperature. [ 145,146 ] Optically induced potentials can be also used to form polariton networks. [ 147,148 ] While these different elements are available in different contexts, they have yet to be combined to form networks of multiple polariton modes in semiconductor microcavities operating at the quantum level.…”

Section: Physical Systemsmentioning

confidence: 99%

Quantum Neuromorphic Computing with Reservoir Computing Networks

et al. 2021

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Quantum reservoir networks combine the intelligence of neural networks with the potential of quantum computing in a single platform. This platform operates on the architecture of reservoir computing, which can function even with random connections between neural nodes. This is a major advantage for hardware implementation. Herein is described how reservoir computing is brought into the quantum domain to perform various tasks, including characterization of quantum states, quantum estimation, quantum state preparation, and quantum computing. It shows quantum enhancement in classical data processing, and creates the opportunity for quantum information processing within the robust paradigm of neural networks. It is friendly for implementation in a wide range of physical systems, including quantum dots, superconductors, trapped ions, cold atoms, and exciton‐polaritons.

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“…Many spin Hamiltonians have been implemented and studied using a range of systems: neutral atoms, ions, electrons in semiconductors, polar molecules, superconducting circuits, and nuclear spins among others . Gain‐dissipative systems such as photonic and polaritonic lattices have recently emerged as promising platforms for many‐body quantum and classical simulations …”

Section: Introductionmentioning

confidence: 99%

Toward Arbitrary Control of Lattice Interactions in Nonequilibrium Condensates

Kalinin

Berloff

2019

Adv Quantum Tech

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There is a growing interest in investigating new states of matter using out‐of‐equilibrium lattice spin models in two dimensions. However, a control of pairwise interactions in such systems has been elusive as due to their nonequilibrium nature they maintain nontrivial particle fluxes even at the steady state. Here it is suggested how to overcome this problem and formulate a method for engineering reconfigurable networks of nonequilibrium condensates with control of individual pairwise interactions. Representing spin by condensate phase, the effective two spin interactions are created with nonresonant pumping, are directed with dissipative channels, and are further controlled with dissipative gates. The dissipative barriers are used to block unwanted interactions between condensates. Together, spatial anisotropy of dissipation and pump profiles allow an effective control of sign and intensity of the coupling strength between any two neighbouring sites independent of the rest of the spins, which is demonstrated with a 2D square lattice of polariton condensates. Experimental realization of such fully controllable networks offers great potential for reservoir computing, modelling of the systems of coupled oscillators, simulation of the new state of matters, studying the phase transitions in large‐scale systems, and optimization.

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Room temperature organic exciton–polariton condensate in a lattice

Cited by 74 publications

References 38 publications

Tunable exciton-polaritons emerging from WS2 monolayer excitons in a photonic lattice at room temperature

Tunable exciton-polaritons emerging from WS2 monolayer excitons in a photonic lattice at room temperature

Quantum Neuromorphic Computing with Reservoir Computing Networks

Toward Arbitrary Control of Lattice Interactions in Nonequilibrium Condensates

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