  Realizing the promise of quantum information processing remains a daunting
task, given the omnipresence of noise and error. Adapting noise-resilient
classical computing modalities to quantum mechanics may be a viable path
towards near-term applications in the noisy intermediate-scale quantum era.
Here, we propose continuous variable quantum reservoir computing in a single
nonlinear oscillator. Through numerical simulation of our model we demonstrate
quantum-classical performance improvement, and identify its likely source: the
nonlinearity of quantum measurement. Beyond quantum reservoir computing, this
result may impact the interpretation of results across quantum machine
learning. We study how the performance of our quantum reservoir depends on
Hilbert space dimension, how it is impacted by injected noise, and briefly
comment on its experimental implementation. Our results show that quantum
reservoir computing in a single nonlinear oscillator is an attractive modality
for quantum computing on near-term hardware.
