3 papers
quant-ph2026
Quantum Tilted Loss in Variational Optimization: Theory and Applications
Yixian Qiu, Josep Lumbreras, Xiufan Li +1
Variational quantum algorithms (VQAs) are leading strategies for using near-term quantum devices, with a well-studied bottleneck being their trainability. Standard expectation-valu…
quant-ph2026
Trainability Beyond Linearity in Variational Quantum Objectives
Gordon Ma, Xiufan Li
Barren-plateau results have established exponential gradient suppression as a widely cited obstacle to the scalability of variational quantum algorithms. When and whether these res…
quant-ph2026
Classical combinations of quantum states for solving banded circulant linear systems
Po-Wei Huang, Xiufan Li, Kelvin Koor +1
Solving linear systems is of great importance in numerous fields. Proposed quantum algorithms for preparing solutions for linear systems include the HHL algorithm with subsequent r…