Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing

Area of Science:

• Materials Science
• Optoelectronics
• Neuromorphic Computing

Background:

• Biological neuromorphic systems demonstrate high connectivity for efficient information processing.
• The von Neumann bottleneck limits conventional computing performance.
• Photonic memory offers a potential solution for nonconventional computing architectures.

Purpose of the Study:

• To demonstrate a photonic flash memory device utilizing all-inorganic CsPbBr3 perovskite quantum dots (QDs).
• To investigate the device's potential for neuromorphic computing applications by emulating synaptic functions.

Main Methods:

• Fabrication of a heterostructure device comprising CsPbBr3 QDs and a semiconductor layer.
• Implementation of optically programmable and electrically erasable memory characteristics.
• Emulation of synaptic functions: short-term plasticity, long-term plasticity, and spike-rate-dependent plasticity.

Main Results:

• The CsPbBr3 QD-based heterostructure exhibited optically programmable and electrically erasable flash memory properties.
• Synapse functions, including plasticity and habituation, were successfully emulated at the device level.
• The synaptic weight demonstrated a multi-wavelength response across 365, 450, 520, and 660 nm.

Conclusions:

• The developed photonic flash memory based on CsPbBr3 QDs shows promise for overcoming computing limitations.
• The device's ability to emulate synaptic functions opens avenues for advanced perovskite-based neuromorphic hardware.
• This work lays the foundation for future innovations in photonic memory and brain-inspired computing.