Thanks to their highly nonlinear response, microcavity polaritons can efficiently mimic various functions realized in brains. While such functions can be simulated by computers, this requires high energy consumption. Therefore, we search for analog optical systems inspired by the efficiency of neurons:

"Device implementing polariton optical neural network and polariton optical neural network", M. Matuszewski, B. Pietka, A. Opala, J. Szczytko, R. Mirek, K. Tyszka, M. Król, M. Furman, J. Suffczyński, W. Pacuski, B. Seredyński, US Patent US20240143990A1 (2024).

"Leaky Integrate-and-Fire Mechanism in Exciton-Polariton Condensates for Photonic Spiking Neurons", K. Tyszka, M. Furman, R. Mirek, M. Król, A. Opala, B. Seredyński, J. Suffczyński, W. Pacuski, M. Matuszewski, J. Szczytko, B. Piętka, Laser Photonics Rev. 17, 2100660 (2023).

"Neural networks based on ultrafast time-delayed effects in exciton-polaritons", R. Mirek, A. Opala, M. Furman, M. Król, K. Tyszka, B. Seredyński, W. Pacuski, J. Suffczyński, J. Szczytko, M. Matuszewski, B. Piętka, Phys. Rev. Applied 17, 054037 (2022).

"Neuromorphic binarized polariton networks", R. Mirek, A. Opala, P. Comaron, M. Furman, M. Król, K. Tyszka, B. Seredyński, D. Ballarini, D. Sanvitto, T. C. H. Liew, W. Pacuski, J. Suffczyński, J. Szczytko, M. Matuszewski, B.Piętka, Nano Letters 21, 3715 (2021).     , Press release: PL.

See more on
http://info.ifpan.edu.pl/polariton/
and
https://polariton.fuw.edu.pl/