2 citations · 3 across the 5 of their papers we have counts for
5 papers
Probing Qubit Noise with a Channel-Resolved Post-Markovian Master Equation
Chun-Tse Li, Jingming Tan, Vasil Gucev +1
Accurate noise characterization is essential for scaling quantum processors toward fault-tolerant operation. Although reduced qubit dynamics are often modeled with Markovian master…
Quantum Algorithm for Low-Energy Effective Hamiltonians and Subspace Eigenvalue Problem
Chun-Tse Li, Tzen Ong, Chih-Yun Lin +3
Subspace eigenvalue problems arise ubiquitously in quantum chemistry and condensed-matter physics, where the relevant object is often a low-energy manifold rather than a single gro…
Attention is all you need to solve chiral superconductivity
Chun-Tse Li, Tzen Ong, Max Geier +2
Recent advances on neural quantum states have shown that correlations between quantum particles can be efficiently captured by attention -- a foundation of modern neural architectu…
A Gell-Mann & Low Theorem Perspective on Quantum Computing: New Paradigm for Designing Quantum Algorithm
Chun-Tse Li, T. Tzen Ong, Lucas Wang +3
The Gell-Mann & Low theorem is a cornerstone of Quantum Field Theory (QFT) and condensed matter physics, and many-body perturbation theory is a foundational tool for treating inter…
Adaptive Circuit Learning of Born Machine: Towards Realization of Amplitude Embedding and Quantum Data Loading
Chun-Tse Li, Hao-Chung Cheng
Quantum data loading plays a central role in quantum algorithms and quantum information processing. Many quantum algorithms hinge on the ability to prepare arbitrary superposition…