collaborators

7 papers

quant-ph2026

Hybrid quantum-classical framework for Betti number estimation with applications to topological data analysis

Nhat A. Nghiem, Tzu-Chieh Wei

Topological data analysis (TDA) is a rapidly growing area that applies techniques from algebraic topology to extract robust features from large-scale data. A key task in TDA is the…

quant-ph2026

Hybrid Quantum-Classical Algorithm for Hamiltonian Simulation

Nhat A. Nghiem, Tzu-Chieh Wei

We introduce a hybrid classical-quantum algorithm for simulating a Hamiltonian of the form $H= \sum_{i=1}^K H_i = \sum_{i=1}^K H_{i_1} \otimes H_{i_2} \otimes \cdots \otimes H_{i_M…

quant-ph2025

Quantum Algorithm for Estimating Betti Numbers Using Cohomology Approach

Nhat A. Nghiem, Xianfeng David Gu, Tzu-Chieh Wei

Topological data analysis has emerged as a powerful tool for analyzing large-scale data. An abstract simplicial complex, in principle, can be built from data points, and by using t…

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 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

Improved Quantum Algorithms for Eigenvalues Finding and Gradient Descent

Nhat A. Nghiem, Tzu-Chieh Wei

Block encoding is a key ingredient in the recently developed quantum singular value transformation (QSVT) framework, which provides a unifying description for many quantum algorith…