4 papers
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…
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…
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…
Applicability of Measurement-based Quantum Computation towards Physically-driven Variational Quantum Eigensolver
Zheng Qin, Xiufan Li, Yang Zhou +4
Variational quantum algorithms are considered one of the most promising methods for obtaining near-term quantum advantages; however, most of these algorithms are only expressed in…