109 citations · 843 across the 53 of their papers we have counts for
6 papers · 1 filter
Variational Quantum-Based Simulation of Waveguide Modes
Wei-Bin Ewe, Dax Enshan Koh, Siong Thye Goh +2
Variational quantum algorithms are one of the most promising methods that can be implemented on noisy intermediate-scale quantum (NISQ) machines to achieve a quantum advantage over…
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…
Connecting geometry and performance of two-qubit parameterized quantum circuits
Amara Katabarwa, Sukin Sim, Dax Enshan Koh +1
Parameterized quantum circuits (PQCs) are a central component of many variational quantum algorithms, yet there is a lack of understanding of how their parameterization impacts alg…
Rademacher complexity of noisy quantum circuits
Kaifeng Bu, Dax Enshan Koh, Lu Li +2
Noise in quantum systems is a major obstacle to implementing many quantum algorithms on large quantum circuits. In this work, we study the effects of noise on the Rademacher comple…
Effects of quantum resources on the statistical complexity of quantum circuits
Kaifeng Bu, Dax Enshan Koh, Lu Li +2
We investigate how the addition of quantum resources changes the statistical complexity of quantum circuits by utilizing the framework of quantum resource theories. Measures of sta…
On the statistical complexity of quantum circuits
Kaifeng Bu, Dax Enshan Koh, Lu Li +2
In theoretical machine learning, the statistical complexity is a notion that measures the richness of a hypothesis space. In this work, we apply a particular measure of statistical…