6 papers
Quantum-enhanced ghost imaging recognition via joint optimization of speckle patterns and quantum network parameters
Yirui Mao, Xiangyu Ge, Yuhang Tu +3
Ghost imaging enables nonlocal image reconstruction and exhibits strong robustness against interference, but achieving high-fidelity recognition at ultra-low sampling rates remains…
Hierarchical Progressive Optimization for Multi-Qubit Pauli Noise Modeling
Xiangyu Ge, Jiafei Ge, Shengmei Zhao +2
Quantum Noise Characterization (QNC) is indispensable for benchmarking and mitigating errors in Noisy Intermediate-Scale Quantum (NISQ) devices. However, traditional Quantum Proces…
PdrQC: Pauli-space Discriminative Representations based Quantum Classifier
Yuhang Tu, Jinfan Wang, Hao Huang +3
Quantum classification faces two key challenges. First, the difficulty of distinguishing between different classes varies: some class pairs are easy to separate, while others are m…
Evolutionary-based quantum architecture search
Anqi Zhang, Shengmei Zhao
Quantum architecture search (QAS) is desired to construct a powerful and general QAS platform which can significantly accelerate quantum advantages in error-prone and depth limited…
Gradient-Free optimization algorithm for single-qubit quantum classifier
Anqi Zhang, Xiaoyun He, Shengmei Zhao
In the paper, a gradient-free optimization algorithm for single-qubit quantum classifier is proposed to overcome the effects of barren plateau caused by quantum devices. A rotation…
Quantum algorithm for neural network enhanced multi-class parallel classification
Anqi Zhang, Xiaoyun He, Shengmei Zhao
Using the properties of quantum superposition, we propose a quantum classification algorithm to efficiently perform multi-class classification tasks, where the training data are lo…