62 citations · 183 across the 16 of their papers we have counts for
17 papers
Toward Interpretable Quantum Generators for Financial Returns through Problem-Informed Circuit Design
Huijie Guan, Xuanhao Wang, Shengbin Wang +7
When used as function approximators, quantum circuits often lack interpretability and face a fundamental trade-off between expressivity and trainability. We propose a problem-infor…
Lifting connectivity bottlenecks in superconducting quantum processors via enriched native two-qubit gates
Hanyi Wang, Jingzhe Guo, Lijun Sun +17
Limited qubit connectivity is a central architectural constraint in superconducting quantum processors, whose planar layouts require additional gates to mediate interactions betwee…
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…
Gradient-Based Excitation Filter for Molecular Ground-State Simulation
Runhong He, Qiaozhen Chai, Xin Hong +4
Molecular ground-state simulation is one of the most promising fields for demonstrating practical quantum advantage on near-term quantum computers. However, the Variational Quantum…
RH: An Architecture for Redesigning Quantum Circuits on Quantum Hardware Devices
Runhong He, Ji Guan, Xin Hong +3
In this paper we present an architecture that enables the redesign of large-scale quantum circuits on quantum hardware based on the entangling quantum generative adversarial networ…
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…
Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
Shengbin Wang, Peng Wang, Guihui Li +8
Great efforts have been dedicated in recent years to explore practical applications for noisy intermediate-scale quantum (NISQ) computers, which is a fundamental and challenging pr…
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…
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…