62 citations · 183 across the 16 of their papers we have counts for
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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…
Universal quantum state preparation via revised greedy algorithm
Run-Hong He, Hai-Da Liu, Sheng-Bin Wang +3
Preparation of quantum state lies at the heart of quantum information processing. The greedy algorithm provides a potential method to effectively prepare quantum states. However, t…
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…