165 citations · 274 across the 9 of their papers we have counts for
9 papers
Quantum Speedups for Testing Similar Means
Chengshen Gao, Yongzhen Xu, Shenggen Zheng +1
Property testing of distributions is a central topic in information theory, learning theory, and statistics. While quantum algorithms are known to offer significant speedups for pr…
Lifting query complexity to time-space complexity for two-way finite automata
Shenggen Zheng, Yaqiao Li, Minghua Pan +2
Time-space tradeoff has been studied in a variety of models, such as Turing machines, branching programs, and finite automata, etc. While communication complexity as a technique ha…
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…
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…
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…
Promise problems solved by quantum and classical finite automata
Shenggen Zheng, Lvzhou Li, Daowen Qiu +1
The concept of promise problems was introduced and started to be systematically explored by Even, Selman, Yacobi, Goldreich, and other scholars. It has been argued that promise pro…