We show that time-delayed nonlinear effects observed between exciton-polariton condensates can be used to create neural networks in which information is encoded in time. We form condensates on semiconductor microcavity using optical pulses that reach the sample at different times. Strongly nonlinear effects are induced by time-dependent interactions with a long-lived excitonic reservoir. Such nonlinearities make it possible to create a nonlinear XOR logic gate that performs operations with a picosecond time scale. A neural network based on such a logic gate performs a speech recognition tasks with high accuracy.
The concept of Neuromorphic Photonics introduces advantages of optical information processing into the neuromorphic engineering domain. Most of the current efforts in the field are focused on identifying the potential mechanisms for useful and flexible spiking neuron implementation. We propose a new approach in which microcavities exhibiting strong exciton-photon interaction may serve as building blocks of optical spiking neurons. Our experiments prove similarities between polariton in-out pulse characteristics and the fundamental spiking behavior of a biological neuron. These effects, evidenced in photoluminescence characteristics, arise within sub-ns timescales. The presented approach provides means for energy-efficient ultrafast processing of spike-like laser pulses.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.