2 citations · 2 across the 3 of their papers we have counts for
7 papers
Optimised Bayesian system identification in quantum devices
Thomas M. Stace, Jiayin Chen, Li Li +6
Identifying and calibrating quantitative dynamical models for physical quantum systems is important for a variety of applications. Here we present a closed-loop Bayesian learning a…
Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms
J. Chen, H. I. Nurdin
Nonlinear stochastic modeling is useful for describing complex engineering systems. Meanwhile, neuromorphic (brain-inspired) computing paradigms are developing to tackle tasks that…
A Small-Gain Theorem for Discrete-Time Convergent Systems and Its Applications
Jiayen Chen, Hendra I. Nurdin
Convergent, contractive or incremental stability properties of nonlinear systems have attracted interest for control tasks such as observer design, output regulation and synchroniz…
Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs
H. I. Nurdin, N. H. Amini, J. Chen
In this paper, we develop a system identification algorithm to identify a model for unknown linear quantum systems driven by time-varying coherent states, based on empirical single…
Temporal Information Processing on Noisy Quantum Computers
Jiayin Chen, Hendra I. Nurdin, Naoki Yamamoto
The combination of machine learning and quantum computing has emerged as a promising approach for addressing previously untenable problems. Reservoir computing is an efficient lear…
Software tools for quantum control: Improving quantum computer performance through noise and error suppression
Harrison Ball, Michael J. Biercuk, Andre Carvalho +10
Manipulating quantum computing hardware in the presence of imperfect devices and control systems is a central challenge in realizing useful quantum computers. Susceptibility to noi…