activity
20182022
most citedTemporal Information Processing on Noisy Quantum Computers

108 citations · 252 across the 8 of their papers we have counts for

collaborators

8 papers

quant-ph2022★ 2 cited

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…

eess.SY2021

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…

eess.SY2021

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…

quant-ph2020

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…

quant-ph2020★ 108 cited

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…

quant-ph2020★ 3 cited

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…

quant-ph2019★ 40 cited

Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems

Jiayin Chen, Hendra I. Nurdin

In this paper, we develop a theory of learning nonlinear input-output maps with fading memory by dissipative quantum systems, as a quantum counterpart of the theory of approximatin…

quant-ph2018★ 99 cited

Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments

David C. McKay, Thomas Alexander, Luciano Bello +17

As interest in quantum computing grows, there is a pressing need for standardized API's so that algorithm designers, circuit designers, and physicists can be provided a common refe…