Ng Hui Khoon

Science (Physics)

Assistant Professor

Email: huikhoon.ng@yale-nus.edu.sg
Email: cqtnhk@nus.edu.sg
Website: http://quantum-nghk.commons.yale-nus.edu.sg

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Dr Ng Hui Khoon obtained her Bachelors in Physics and Mathematics at Cornell University in 2002, under the support of a Defence Science and Technology Training Award from Singapore. She was awarded the Paul Hartman Prize from the University for her undergraduate work. She continued at Cornell to do a Masters in Applied Engineering Physics, during which she received the David Delano Clark Prize for Best Masters Thesis (Physics and Applied Physics). She then returned to Singapore to work at DSO National Laboratories for a year, before going for her PhD studies in Physics at the California Institute of Technology, under the generous support of a Betty and Gordon Moore Fellowship. Since her graduation in 2009, she has been holding joint appointments as a Research Fellow at the Centre for Quantum Technologies (CQT), National University of Singapore, and as a Senior Member of Technical Staff at DSO National Laboratories. She joined Yale-NUS in July 2013, and continues to hold a joint appointment at CQT.

Dr Ng studies quantum systems for the purpose of quantum information processing. Her research interests centre around the question of noise and its effects on quantum information and quantum computation. Given the fragile nature of quantum phenomena, noise is the main stumbling block in any attempt at accessing and controlling quantum systems. She has worked on various aspects of quantum error correction and fault tolerance for noise control. Her recent focus is on the issue of non-Markovian noise: how it arises in quantum systems, how to characterise it, and its impact on quantum computational tasks.

Since joining the Centre for Quantum Technologies (CQT), she has also been working on quantum tomography – the estimation of the state of quantum systems and the characterisation of quantum processes. Quantum tomography is a primitive that underlies nearly all quantum tasks. In particular, Dr Ng likes to think about techniques that offer significant improvements when only a small amount of data is available, an often-encountered situation in quantum experiments.

Recent publications and preprints:

J Shang, Y-L Seah, B Wang, HK Ng, DJ Nott, and B-G Englert, Random samples of quantum states: Online resources, arXiv:1612.05180 (2016). (Documentation for http://tinyurl.com/QSampling.)

MI Trappe, YL Len, HK Ng, and B-G Englert, Density-potential functionals: Gradient corrections to kinetic energy and particle density, arXiv:1612.04048.

J Shang, Z Zhang, and HK Ng, Superfast maximum likelihood reconstruction for quantum tomography, arXiv:1609.07881 (2016).

X Li, J Shang, HK Ng, and B-G Englert, Optimal error intervals for properties of the quantum state, Phys. Rev. A 94, 062112 (2016).

J Dai, YL Len, and HK Ng, Initial system-bath state via the maximum-entropy principle, Phys. Rev. A 94, 052112 (2016).

M-I Trappe, YL Len, HK Ng, C Mueller, and B-G Englert, Leading gradient correction to the kinetic energy for two-dimensional fermion gases, Phys. Rev. A 93, 042510 (2016).

R Han, HK Ng, B-G Englert, Implementing a neutral-atom controlled-phase gate with a single Rydberg pulse, Europhys. Lett. 113, 40001 (2016).

Selected Publications:

Y-L Seah, J Shang, HK Ng, DJ Nott, and B-G Englert, Monte Carlo sampling in the quantum state space. II, New J. Phys. 17, 043018 (2015).

J Shang, Y-L Seah, HK Ng, DJ Nott, and B-G Englert, Monte Carlo sampling in the quantum state space. I, New J. Phys. 17, 043017 (2015).

J. Shang, H. K. Ng, A. Sehrawat, X. Li, and B.-G. Englert, Optimal error regions for quantum state estimation, New J. Phys. 15, 123026 (2013).

H. K. Ng, D. A. Lidar, and J. Preskill, Combining dynamical decoupling with fault-tolerant quantum computation, Phys. Rev. A 84, 012305 (2011).

H. K. Ng and P. Mandayam, Simple approach to approximate quantum error correction based on the transpose channel, Phys. Rev. A 81, 062342 (2010).

H. K. Ng and J. Preskill, Fault-tolerant quantum computation versus Gaussian noise, Phys. Rev. A 79, 032318 (2009).

R. Blume-Kohout, H. K. Ng, D. Poulin, and L. Viola, Characterizing the structure of preserved information in quantum processes, Phys. Rev. Lett. 100, 030501 (2008).

Scientific Inquiry
Classical Mechanics