Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
arxiv(2023)
摘要
Among the promising advantages of photonic computing over conventional
computing architectures is the potential to increase computing efficiency
through massive parallelism by using the many degrees of freedom provided by
photonics. Here, we numerically demonstrate the simultaneous use of time and
frequency (equivalently wavelength) multiplexing to solve three independent
tasks at the same time on the same photonic circuit. In particular, we consider
a microring-based time-delay reservoir computing (TDRC) scheme that
simultaneously solves three tasks: Time-series prediction, classification, and
wireless channel equalization. The scheme relies on time-division multiplexing
to avoid the necessity of multiple physical nonlinear nodes, while the tasks
are parallelized using wavelength division multiplexing (WDM). The input data
modulated on each optical channel is mapped to a higher dimensional space by
the nonlinear dynamics of the silicon microring cavity. The carrier wavelength
and input power assigned to each optical channel have a high influence on the
performance of its respective task. When all tasks operate under the same
wavelength/power conditions, our results show that the computing nature of each
task is the deciding factor of the level of performance achievable. However, it
is possible to achieve good performance for all tasks simultaneously by
optimizing the parameters of each optical channel. The variety of applications
covered by the tasks shows the versatility of the proposed photonic TDRC
scheme. Overall, this work provides insight into the potential of WDM-based
schemes for improving the computing capabilities of reservoir computing
schemes.
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