165 citations · 295 across the 11 of their papers we have counts for
12 papers
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…
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…
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…
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…
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…
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…
Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
Chuangtao Chen, Qinglin Zhao, MengChu Zhou +3
Mixed quantum states are the native description of many physically important quantum systems, making their generation a fundamental task in quantum information processing. However,…
GSQAS: Graph Self-supervised Quantum Architecture Search
Zhimin He, Maijie Deng, Shenggen Zheng +2
Quantum Architecture Search (QAS) is a promising approach to designing quantum circuits for variational quantum algorithms (VQAs). However, existing QAS algorithms require to evalu…
Fast optimal structures generator for parameterized quantum circuits
Chuangtao Chen, Zhimin He, Shenggen Zheng +2
Current structure optimization algorithms optimize the structure of quantum circuit from scratch for each new task of variational quantum algorithms (VQAs) without using any prior…
Quantum Architecture Search with Meta-learning
Zhimin He, Chuangtao Chen, Lvzhou Li +2
Variational quantum algorithms (VQAs) have been successfully applied to quantum approximate optimization algorithms, variational quantum compiling and quantum machine learning mode…
Variational quantum compiling with double Q-learning
Zhimin He, Lvzhou Li, Shenggen Zheng +2
Quantum compiling aims to construct a quantum circuit V by quantum gates drawn from a native gate alphabet, which is functionally equivalent to the target unitary U. It is a crucia…
Quantum generative adversarial network for generating discrete distribution
Haozhen Situ, Zhimin He, Yuyi Wang +2
Quantum machine learning has recently attracted much attention from the community of quantum computing. In this paper, we explore the ability of generative adversarial networks (GA…