Coherently coupled quantum oscillators for quantum reservoir computing
Julien Dudas, Julie Grollier, Danijela Markovi\'c

TL;DR
This paper investigates a quantum system of two coupled oscillators for reservoir computing, demonstrating non-linearity, fading memory, and complex dynamics essential for quantum neural networks.
Contribution
It introduces a quantum reservoir computing model using coupled oscillators, highlighting the importance of strong coupling and controllable dissipation for complex quantum dynamics.
Findings
System applies nonlinear transformations on inputs.
Fading memory is controllable via dissipation rates.
Strong coupling leads to exponential basis states.
Abstract
We analyze the properties of a quantum system composed of two coherently coupled quantum oscillators and show through simulations that it fulfills the two properties required for reservoir computing: non-linearity and fading memory. We first show that the basis states of this system apply a set of nonlinear transformations on the input signals and thus can implement neurons. We then show that the system exhibits a fading memory that can be controlled by its dissipation rates. Finally we show that a strong coupling between the oscillators is important in order to ensure complex dynamics and to populate a number of basis state neurons that is exponential in the number of physical devices.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Reservoir Computing · Nonlinear Dynamics and Pattern Formation · Neural Networks and Applications
