7 papers
An Exponential Advantage for Adaptive Tomography of Structured States under Pauli Basis Measurements
Alireza Goldar, Zhen Qin, Zhihui Zhu +2
Broad claims about whether adaptivity helps in quantum state tomography can be misleading unless the state family, measurement architecture, and error metric are specified carefull…
Calibrating the Role of Entanglement in Variational Quantum Algorithms from a Geometric Perspective
Chunxiao Du, Yang Zhou, Zhichen Huang +4
Calibrating the role of entanglement in quantum algorithms is a crucial task in the development of quantum computing. Most existing studies have primarily focused on how the static…
Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits
Shikun Zhang, Yang Zhou, Zheng Qin +4
Variational quantum algorithms (VQAs) have emerged as the leading strategy to obtain quantum advantage on the current noisy intermediate-scale devices. However, their entanglement-…
Diffusion-Enhanced Optimization of Variational Quantum Eigensolver for General Hamiltonians
Shikun Zhang, Zheng Qin, Yongyou Zhang +4
Variational quantum algorithms (VQAs) have emerged as a promising approach for achieving quantum advantage on current noisy intermediate-scale quantum devices. However, their large…
High-dimentional Multipartite Entanglement Structure Detection with Low Cost
Rui Li, Shikun Zhang, Zheng Qin +3
Quantum entanglement detection and characterization are crucial for various quantum information processes. Most existing methods for entanglement detection rely heavily on a comple…
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…