Ng Hui Khoon
CQT Fellow
Centre for Quantum Technologies
Associate Professor
Yale-NUS College & Department of Physics, Faculty of Science, National University of Singapore
S15-06-04
Hui Khoon Ng did her undergraduate in Cornell University, and then completed her PhD (2009) in the group of John Preskill at California Institute of Technology, on the subject of theoretical quantum information and computation. Upon graduation, she returned to Singapore as a postdoctoral researcher at the DSO National Laboratories of Singapore, spending part of her time at the Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS), within the group of Berge Englert. In 2013, she joined, as a faculty member, the then new Yale-NUS College in Singapore, a joint liberal arts and sciences college set up by Yale University and NUS. She has since maintained a joint position in CQT, becoming a CQT Fellow in 2019. Her research focuses on theoretical aspects of quantum computation, particularly on noise control, quantum error correction, and fault tolerance. She currently heads up the Science Division in Yale-NUS, and is the Deputy Director (NUS) for MajuLab, a French CNRS quantum science lab situated in Singapore. She is also Senior Scientific Advisor for Entropica Labs, a quantum startup in Singapore focusing on error correction and fault-tolerant quantum computing.
Preprints & Publications
Optimizing resource efficiencies for scalable full-stack quantum computers
Checking the Model and the Prior for the Constrained Multinomial
Adaptive Quantum State Tomography with Neural Networks
Using prior expansions for prior-data conflict checking
Randomized benchmarking in the presence of time-correlated dephasing noise
User-specified random sampling of quantum channels and its applications
Finding good codes using the Cartan form
Direct estimation of minimum gate fidelity
Randomized benchmarking does not measure average infidelity of gates
Proper error bars for self-calibrating quantum tomography
Quantum process tomography via optimal design of experiments
Open-System Quantum Error Correction
Superfast maximum likelihood reconstruction for quantum tomography
Digital quantum simulator in the presence of a bath
Implementing a neutral-atom controlled-phase gate with a single Rydberg pulse
Initial system-bath state via the maximum-entropy principle
Optimal error intervals for properties of the quantum state
Monte Carlo sampling from the quantum state space. I
Monte Carlo sampling from the quantum state space. II
Least-bias state estimation with incomplete unbiased measurements
Raman transitions: Adiabatic elimination revisited
Raman transitions without adiabatic elimination: A simple and accurate treatment
One-dimensional transport revisited: A simple and exact solution for phase disorder
Optimal error regions for quantum state estimation
Minimax mean estimator for the trine
A simple minimax estimator for quantum states
Towards a Unified Framework for Approximate Quantum Error Correction
Combining dynamical decoupling with fault-tolerant quantum computation
Information preserving structures: A general framework for quantum zero-error information
Simple approach to approximate quantum error correction based on the transpose channel
Fault-tolerant quantum computation versus Gaussian noise
Characterizing the structure of preserved information in quantum processes
Single-Loop Interferometer for Minimal Ellipsometry
Quantum state tomography: Mean squared error matters, bias does not
Random samples of quantum states: Online resources
Limitations in quantum computing from resource constraints
Randomized linear gate set tomography
Uncorrelated problem-specific samples of quantum states from zero-mean Wishart distributions
Achieving fault tolerance against amplitude-damping noise
