activity
20202026
most citedSubtleties in the trainability of quantum machine learning models

69 citations · 93 across the 35 of their papers we have counts for

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15 papers · 1 filter

quant-ph2025

Quantum Algorithm for Estimating Ollivier-Ricci Curvature

Nhat A. Nghiem, Linh Nguyen, Tuan K. Do +2

We introduce a quantum algorithm for computing the Ollivier Ricci curvature, a discrete analogue of the Ricci curvature defined via optimal transport on graphs and general metric s…

quant-ph2025

Quantum Algorithms for Computing Maximal Quantum -divergence and Kubo-Ando means

Trung Hoa Dinh, Nhat A. Nghiem

The development of quantum computation has resulted in many quantum algorithms for a wide array of tasks. Recently, there is a growing interest in using quantum computing technique…

quant-ph2025

Fractatomic Physics: An Invitation with Atomic Stability and Rydberg States in Fractal Spaces

Nhat A. Nghiem, Trung V. Phan

We explore the physical quantum properties of atoms in fractal spaces, both as a theoretical generalization of normal integer-dimensional Euclidean spaces and as an experimentally…

quant-ph2025

Quantum topological data analysis algorithm for dynamical systems

Nhat A. Nghiem

Dynamical systems appear in nearly every aspect of the physical world. As such, understanding the properties of dynamical systems is of great importance. Typically, a dynamical sys…

quant-ph2025

Quantum Algorithm for Estimating Intrinsic Geometry

Nhat A. Nghiem, Tuan K. Do, Tzu-Chieh Wei +1

High-dimensional datasets typically cluster around lower-dimensional manifolds but are also often marred by severe noise, obscuring the intrinsic geometry essential for downstream…

quant-ph2025

Towards quantum topological data analysis: torsion detection

Nhat A. Nghiem

Topological data analysis (TDA) has become an attractive area for the application of quantum computing. Recent advances have uncovered many interesting connections between the two…