  Integrated photonic reservoir computing has been demonstrated to be able to
tackle different problems because of its neural network nature. A key advantage
of photonic reservoir computing over other neuromorphic paradigms is its
straightforward readout system, which facilitates both rapid training and
robust, fabrication variation-insensitive photonic integrated hardware
implementation for real-time processing. We present our recent development of a
fully-optical, coherent photonic reservoir chip integrated with an optical
readout system, capitalizing on these benefits. Alongside the integrated
system, we also demonstrate a weight update strategy that is suitable for the
integrated optical readout hardware. Using this online training scheme, we
successfully solved 3-bit header recognition and delayed XOR tasks at 20 Gbps
in real-time, all within the optical domain without excess delays.
