62 citations · 167 across the 17 of their papers we have counts for
17 papers
Defeating Barren Plateaus with Task-Aligned Symmetry
Ruipeng Xing, Yanan Li, Zhen Shang +3
Barren plateaus -- the exponential vanishing of gradients -- are a fundamental obstacle to training scalable quantum neural networks. Whether they arise in quantum recurrent neural…
The inherent convolution property of quantum neural networks
Guangkai Qu, Zhimin Wang, Guoqiang Zhong +1
Quantum neural networks (QNNs) represent a pioneering intersection of quantum computing and deep learning. In this study, we unveil a fundamental convolution property inherent to Q…
GAN decoder on a quantum toric code for noise-robust quantum teleportation
Jiaxin Li, Zhimin Wang, Alberto Ferrara +2
We propose a generative adversarial network (GAN)-based decoder for quantum topological codes and apply it to enhance a quantum teleportation protocol under depolarizing noise. By…
Improving the trainability of VQE on NISQ computers for solving portfolio optimization using convex interpolation
Shengbin Wang, Guihui Li, Zhimin Wang +5
Solving combinatorial optimization problems using variational quantum algorithms (VQAs) might be a promise application in the NISQ era. However, the limited trainability of VQAs co…
A natural NISQ model of quantum self-attention mechanism
Shangshang Shi, Zhimin Wang, Jiaxin Li +5
The self-attention mechanism (SAM) has demonstrated remarkable success in various applications. However, training SAM on classical computers becomes computationally challenging as…
Hybrid quantum-classical convolutional neural network for phytoplankton classification
Shangshang Shi, Zhimin Wang, Ruimin Shang +4
The taxonomic composition and abundance of phytoplankton, having direct impact on marine ecosystem dynamic and global environment change, are listed as essential ocean variables. P…
Quantum Recurrent Neural Networks for Sequential Learning
Yanan Li, Zhimin Wang, Rongbing Han +6
Quantum neural network (QNN) is one of the promising directions where the near-term noisy intermediate-scale quantum (NISQ) devices could find advantageous applications against cla…
Advancing Algorithm to Scale and Accurately Solve Quantum Poisson Equation on Near-term Quantum Hardware
Kamal K. Saha, Walter Robson, Connor Howington +3
The Poisson equation has many applications across the broad areas of science and engineering. Most quantum algorithms for the Poisson solver presented so far either suffer from lac…
Black-Box Quantum State Preparation with Inverse Coefficients
Shengbin Wang, Zhimin Wang, Runhong He +8
Black-box quantum state preparation is a fundamental building block for many higher-level quantum algorithms, which is applied to transduce the data from computational basis into a…
Quantum-inspired Complex Convolutional Neural Networks
Shangshang Shi, Zhimin Wang, Guolong Cui +5
Quantum-inspired neural network is one of the interesting researches at the junction of the two fields of quantum computing and deep learning. Several models of quantum-inspired ne…
Optimization and Noise Analysis of the Quantum Algorithm for Solving One-Dimensional Poisson Equation
Guolong Cui, Zhimin Wang, Shengbin Wang +5
Solving differential equations is one of the most promising applications of quantum computing. Recently we proposed an efficient quantum algorithm for solving one-dimensional Poiss…
Fast Black-Box Quantum State Preparation Based on Linear Combination of Unitaries
Shengbin Wang, Zhimin Wang, Guolong Cui +6
Black-box quantum state preparation is a fundamental primitive in quantum algorithms. Starting from Grover, a series of techniques have been devised to reduce the complexity. In th…
Quantum Amplitude Arithmetic
Shengbin Wang, Zhimin Wang, Guolong Cui +6
Quantum algorithm involves the manipulation of amplitudes and computational basis, of which manipulating basis is largely a quantum analogue of classical computing that is always a…
A quantum circuit simulator and its applications on Sunway TaihuLight supercomputer
Zhimin Wang, Zhaoyun Chen, Shengbin Wang +4
Classical simulation of quantum computation is vital for verifying quantum devices and assessing quantum algorithms. We present a new quantum circuit simulator developed on the Sun…
A quantum Poisson solver implementable on NISQ devices (improved version)
Shengbin Wang, Zhimin Wang, Wendong Li +4
Solving differential equations is one of the most compelling applications of quantum computing. Most existing quantum algorithms addressing general ordinary and partial differentia…
Quantum circuits design for evaluating transcendental functions based on a function-value binary expansion method
Shengbin Wang, Zhimin Wang, Wendong Li +4
Quantum arithmetic in the computational basis constitutes the fundamental component of many circuit-based quantum algorithms. There exist a lot of studies about reversible implemen…
Quantum Fast Poisson Solver: the algorithm and modular circuit design
Shengbin Wang, Zhimin Wang, Wendong Li +3
The Poisson equation has applications across many areas of physics and engineering, such as the dynamic process simulation of ocean current. Here we present a quantum Fast Poisson…