Impact of filtering on photonic time-delay reservoir computing

Area of Science:

• * Physics
• * Optical Computing
• * Nonlinear Dynamics

Background:

• * Photonic reservoir computing utilizes the complex dynamics of light for computation.
• * Feedback bandwidth is a critical parameter influencing the stability and performance of these systems.
• * Modulational instability can degrade the computational capabilities of photonic reservoirs.

Purpose of the Study:

• * To investigate the impact of feedback bandwidth modification on photonic reservoir computer properties.
• * To explore methods for optimizing the memory capacity and computational ability of these systems.
• * To understand the relationship between spectral properties and system performance.

Main Methods:

• * Analysis of a time-delay photonic reservoir computer based on a semiconductor laser.
• * Implementation of filtered optoelectronic feedback to control system dynamics.
• * Examination of eigenvalue spectra and their relationship to feedback bandwidth.

Main Results:

• * Bandwidth selection leads to a flat-topped eigenvalue spectrum.
• * Weak damping of numerous system frequencies is achieved by attenuating modulational instability.
• * Memory capacity is optimized, while computational ability remains largely unaffected by filter characteristics.

Conclusions:

• * Feedback bandwidth is a key parameter for tuning photonic reservoir computer performance.
• * A flat-topped eigenvalue spectrum enhances memory capacity without significantly compromising computational ability.
• * Filtered optoelectronic feedback offers a viable strategy for optimizing reservoir computing systems.