8 citations · 10 across the 5 of their papers we have counts for
5 papers
Classical Shadows with Improved Median-of-Means Estimation
Winston Fu, Dax Enshan Koh, Siong Thye Goh +1
The classical shadows protocol, introduced by Huang et al. [Nat. Phys. 16, 1050 (2020)], makes use of the median-of-means (MoM) estimator to efficiently estimate the expectation va…
Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks
Jun Yong Khoo, Chee Kwan Gan, Wenjun Ding +3
Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investi…
Solving Fractional Differential Equations on a Quantum Computer: A Variational Approach
Fong Yew Leong, Dax Enshan Koh, Jian Feng Kong +6
We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial differential equations. Our method employs an iterable…
A quantum tug of war between randomness and symmetries on homogeneous spaces
Rahul Arvind, Kishor Bharti, Jun Yong Khoo +2
We explore the interplay between symmetry and randomness in quantum information. Adopting a geometric approach, we consider states as -equivalent if related by a symmetry transf…
Exploring variational quantum eigensolver ansatzes for the long-range XY model
Jia-Bin You, Dax Enshan Koh, Jian Feng Kong +3
Finding the ground state energy and wavefunction of a quantum many-body system is a key problem in quantum physics and chemistry. We study this problem for the long-range XY model…