activity
20182022
most citedOptimised Bayesian system identification in quantum devices

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing quant-phShow all

5 papers · 1 filter

quant-ph20222 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…

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

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

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-ph2018

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…