5 papers
OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials
Sankalp Pandey, Xuan-Bac Nguyen, Hoang-Quan Nguyen +4
The transition from optical identification of 2D quantum materials to practical device fabrication requires dynamic reasoning beyond the detection accuracy. While recent domain-spe…
CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
Sankalp Pandey, Xuan Bac Nguyen, Nicholas Borys +2
Identifying quantum flakes is crucial for scalable quantum hardware; however, automated layer classification from optical microscopy remains challenging due to substantial appearan…
QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Sankalp Pandey +4
Characterizing two-dimensional quantum materials from optical microscopy images is challenging due to the subtle layer-dependent contrast, limited labeled data, and significant var…
-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
Hoang-Quan Nguyen, Xuan Bac Nguyen, Sankalp Pandey +4
Characterizing quantum flakes is a critical step in quantum hardware engineering because the quality of these flakes directly influences qubit performance. Although computer vision…
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Hoang-Quan Nguyen, Xuan Bac Nguyen, Samuel Yen-Chi Chen +4
Parameterized Quantum Circuits (PQCs) have been acknowledged as a leading strategy to utilize near-term quantum advantages in multiple problems, including machine learning and comb…