165 citations · 445 across the 29 of their papers we have counts for
31 papers
Recent Advances in Quantum Architecture Search
Haozhen Situ, Zhimin He, Lvzhou Li
Variational quantum algorithms (VQAs) constitute a prominent paradigm for exploring the capabilities of near-term quantum computers. As the effectiveness of VQAs depends heavily on…
A Dynamical Lie-Algebraic Framework for Hamiltonian Engineering and Quantum Control
Yanying Liang, Ruibin Xu, Mao-Sheng Li +2
Determining the unitary dynamics accessible from finite Hamiltonian resources is a central problem in Hamiltonian engineering and quantum control. Dynamical Lie algebras (DLAs) con…
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…
Enhancing Variational Quantum Circuit Training: An Improved Neural Network Approach for Barren Plateau Mitigation
Zhehao Yi, Yanying Liang, Haozhen Situ
Combining classical optimization with parameterized quantum circuit evaluation, variational quantum algorithms (VQAs) are among the most promising algorithms in near-term quantum c…
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…
Polygamy relations for tripartite and multipartite quantum systems
Yanying Liang, Haozhen Situ, Zhu-Jun Zheng
We study the polygamy property for tripartite and multipartite quantum systems. In tripartite system, we build a solution set for polygamy in tripartite system and find a lower bou…
Learnability of a hybrid quantum-classical neural network for graph-structured quantum data
Yanying Liang, Sile Tang, Zhehao Yi +2
Graph-structured data commonly arise in many real-world applications, and this extends naturally into the quantum setting, where quantum data with inherent graph structures are fre…
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,…
Improvements on "Multi-Party Quantum Summation without a Third Party based on -Dimensional Bell States"
Xiaobing Li, Jiale Hou, Haozhen Situ +1
In 2021, Wu et al. presented a multi-party quantum summation scheme exploiting the entanglement properties of d-dimensional Bell states (Wu et al. in Quantum Inf Process 20:200, 20…
Hybrid Quantum Neural Network Structures for Image Multi-classification
Mingrui Shi, Haozhen Situ, Cai Zhang
Image classification is a fundamental computer vision problem, and neural networks offer efficient solutions. With advancing quantum technology, quantum neural networks have gained…
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…
Detection and evaluation of abnormal user behavior based on quantum generation adversarial network
Minghua Pan, Bin Wang, Xiaoling Tao +3
Quantum computing holds tremendous potential for processing high-dimensional data, capitalizing on the unique capabilities of superposition and parallelism within quantum states. A…
Complementarity between Success Probability and Coherence in Grover Search Algorithm
Minghua Pan, Haozhen Situ, Shenggen Zheng
Coherence plays a very important role in Grover search algorithm (GSA). In this paper, we define the normalization coherence N(C), where C is a coherence measurement. In virtue of…
Quantum continual learning of quantum data realizing knowledge backward transfer
Haozhen Situ, Tianxiang Lu, Minghua Pan +1
For the goal of strong artificial intelligence that can mimic human-level intelligence, AI systems would have the ability to adapt to ever-changing scenarios and learn new knowledg…
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…
Improvements on "Secure multi-party quantum summation based on quantum Fourier transform"
Cai Zhang, Mohsen Razavi, Zhewei Sun +1
Recently, a quantum multi-party summation protocol based on the quantum Fourier transform has been proposed [Quantum Inf Process 17: 129, 2018]. The protocol claims to be secure ag…
Multi-party quantum summation based on quantum teleportation
Cai Zhang, Mohsen Razavi, Zhiwei Sun +2
We present a secure multi-party quantum summation protocol based on quantum teleportation, in which a malicious, but non-collusive, third party (TP) helps compute the summation. In…
Quantum speedup for twin support vector machines
Zekun Ye, Lvzhou Li, Haozhen Situ +1
We devise new quantum algorithms that exponentially speeds up the training and prediction procedures of twin support vector machines (TSVM). To train TSVMs using quantum methods, w…
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…
Capability of local operations and classical communication for distinguishing bipartite unitary operations
Lvzhou Li, Shenggen Zheng, Haozhen Situ +1
The problem behind this paper is, if the number of queries to unitary operations is fixed, say , then when do local operations and classical communication (LOCC) suffice for opt…