期刊
APPLIED PHYSICS LETTERS
卷 119, 期 20, 页码 -出版社
AIP Publishing
DOI: 10.1063/5.0064374
关键词
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资金
- UKRI Turing AI Acceleration Fellowship Programme [EP/V025198/1]
- U.S. Office of Naval Research Global [ONRG-NICOP-N62909-18-1-2027]
- European Commission [828841-ChipAI-H2020-FETOPEN-2018-2020]
- EPSRC [EP/N509760]
- EPSRC [EP/V025198/1] Funding Source: UKRI
This paper presents a high-speed and tunable photonic synaptic element based on VCSOA, allowing full weight tunability of sub-ns input light pulses by varying the bias current. The VCSOA-based synapse offers gain and dynamical weight tuning at high-speed with up to 11.6-bit precision, making it a promising solution for future neuromorphic photonic systems.
In this paper, we report a high-speed and tunable photonic synaptic element based on a vertical cavity semiconductor optical amplifier (VCSOA) operating with short (150 ps-long) and low-energy (mu W peak power) light pulses. By exploiting nonlinear gain properties of VCSOAs when subject to external optical injection, our system permits full weight tunability of sub-ns input light pulses, just by varying the VCSOA's applied bias current. Not only is the VCSOA-based synapse able to adjust the strength of incoming optical pulses, but it can also provide gain (applied weight factors > 1). Moreover, we show that this simple approach permits dynamical weight tuning at high-speed (ns rates) with up to an 11.6-bit precision. These results are realized with commercially sourced, inexpensive vertical cavity surface emitting lasers, operating at the key telecom wavelengths of 1300 and 1550 nm and hence making our approach compatible with optical network and data center technologies. This VCSOA-based system, therefore, offers a hardware friendly, low-energy, and high-speed solution for photonic synaptic links with high potential for use in future neuromorphic photonic systems.
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