activity
20182026
most citedVariational quantum compiling with double Q-learning

45 citations · 91 across the 9 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Quantum-hardware spectral co-design framework for multifrequency Rydberg electrometry

Song Huang, Guibin Tian, Fernando Quijandría +4

Engineering electromagnetic hardware to satisfy discrete quantum-defined spectral constraints constitutes a general spectral co-design problem for quantum systems. Here we address…

quant-ph2026

Recent Advances in Quantum Architecture Search

Haozhen Situ, Zhimin He, Lvzhou Li

Variational quantum algorithms (VQAs) constitute a prominent framework for exploring the capabilities of near-term quantum computers. As the effectiveness of VQAs depends heavily o…

quant-ph2025

From Membership-Privacy Leakage to Quantum Machine Unlearning

Junjian Su, Runze He, Guanghui Li +4

Quantum machine learning (QML) has the potential to achieve quantum advantage for specific tasks by combining quantum computation with classical machine learning (ML). In classical…

quant-ph2025

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning

Chuangtao Chen, Qinglin Zhao, MengChu Zhou +3

Discrete diffusion models represent a significant advance in generative modeling, demonstrating remarkable success in synthesizing complex, high-quality discrete data. However, to…

quant-ph2024★ 6 cited

Learning the expressibility of quantum circuit ansatz using transformer

Fei Zhang, Jie Li, Zhimin He +1

With the exponentially faster computation for certain problems, quantum computing has garnered significant attention in recent years. Variational quantum algorithms are crucial met…

quant-ph2024★ 20 cited

Distributed quantum architecture search

Haozhen Situ, Zhimin He, Shenggen Zheng +1

Variational quantum algorithms, inspired by neural networks, have become a novel approach in quantum computing. However, designing efficient parameterized quantum circuits remains…