4 papers · 1 filter
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…
Single entanglement connection architecture between multi-layer bipartite Hardware Efficient Ansatz
Shikun Zhang, Zheng Qin, Yang Zhou +3
Variational quantum algorithms (VQAs) are among the most promising algorithms to achieve quantum advantages in the NISQ era. One important challenge in implementing such algorithms…