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This study advances photonic integrated circuits by enabling direct comparison of microdisk lasers under optical and electrical pumping, offering critical optimization pathways for high-throughput neural network hardware. By achieving picosecond-level measurement accuracy, the research addresses the escalating computational power demands of AI systems through faster, more interference-resistant light-based data transmission.
HSE St. Petersburg Scientists Find Way to Accelerate Neural Networks Using Micro-lasers

Scientists from the International Laboratory of Quantum Optoelectronics at HSE University — St. Petersburg and the Laser Institute of the Shandong Academy of Sciences (China) have directly compared the speed of microdisk lasers powered by optical and electrical energy. The results will enable optimization of light-emitting sources in…
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