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4 results on '"Sui, Liyang"'

1. Determination of Molecular Energies via Quantum Imaginary Time Evolution in a Superconducting Qubit System

Author

Zong, Zhiwen, Huai, Sainan, Cai, Tianqi, Jin, Wenyan, Zhan, Ze, Zhang, Zhenxing, Bu, Kunliang, Sui, Liyang, Fei, Ying, Zheng, Yicong, Zhang, Shengyu, Wu, Jianlan, and Yin, Yi

Subjects
Quantum Physics
Abstract

As a valid tool for solving ground state problems, imaginary time evolution (ITE) is widely used in physical and chemical simulations. Different ITE-based algorithms in their quantum counterpart have recently been proposed and applied to some real systems. We experimentally realize the variational-based quantum imaginary time evolution (QITE) algorithm to simulate the ground state energy of hydrogen (H2) and lithium hydride (LiH) molecules in a superconducting qubit system. The H2 molecule is directly simulated using the 3-qubit circuit with unitary-coupled clusters (UCC) ansatz. We also combine QITE with the cluster mean-field (CMF) method to obtain an effective Hamiltonian. The LiH molecule is correspondingly simulated using the 3-qubit circuit with hardware-efficient ansatz. For comparison, the LiH molecule is also directly simulated using the 4-qubit circuit with UCC ansatz at the equilibrium point. All the experimental results show a convergence within 4 iterations, with high-fidelity ground state energy obtained. For a more complex system in the future, the CMF may allow further grouping of interactions to obtain an effective Hamiltonian, then the hybrid QITE algorithm can possibly simulate a relatively large-scale system with fewer qubits., Comment: 11 pages, 5 figures

Published
2023
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3. Path Planning based on Clothoid for Autonomous Valet Parking

Author

Sui Liyang, Huang Miaohua, Jia Changhao, Chen Xuezhi, and Houyu Yu

Subjects
050101 languages & linguistics, Road traffic control, Computer science, 05 social sciences, Real-time computing, Astrophysics::Instrumentation and Methods for Astrophysics, 02 engineering and technology, Curvature, Path (graph theory), 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), Parking lot, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Topological map, Motion planning, MATLAB, computer, computer.programming_language
Abstract

The problem of path planning of the autonomous valet parking can be explained as the planning of a path from the entrance of the parking lot to the parking space. Firstly, by collecting the location information of key nodes in the parking Iot, the topological map of the parking lot is defined, which is composed of parking space information and road topological network. Secondly, the reasonable parking space searching path and parking path are planned, and their curvature discontinuity is smoothed. The parking path adopts the C-shaped method, the path of searching for parking spaces adopts the line-arc-line splicing method, and use the clothoid curve to smooth the path. Finally, Stanley path tracking algorithm is used to follow the planned path based on MATLAB to verify the effectiveness of the path planning algorithm. The simulation results show that the proposed algorithm can realize the seamless splicing between the searching path and the parking path, and the planned path can be tracked better.

Published
2020

4. An Autonomous Vehicle Motion Planning Method based On Dynamic Programming

Author

Sui Liyang, Huang Miaohua, and Jia Changhao

Subjects
050101 languages & linguistics, Computer science, 05 social sciences, Mobile robot, Control engineering, 02 engineering and technology, Optimal control, Field (computer science), Computer Science::Robotics, Dynamic programming, Vehicle dynamics, 0202 electrical engineering, electronic engineering, information engineering, Trajectory, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Motion planning, MATLAB, computer, computer.programming_language
Abstract

In this article, we propose a new approach to solve local motion planning problem in autonomous vehicle field. Instead of generating several primitives and choosing the optimal trajectory from that, we get the future T time step horizon's vehicle state, and fit that into clothoid local trajectory by solving a dynamic programming problem. The trajectory generated is smooth enough and meet both ego vehicle's dynamics and traffic regulation's constraints. Iterate this process, the ego autonomous vehicle can obtain its future trajectory continuously. This method has a good performance in the simulation using Matlab and Prescan. This method has fast computing speed to apply on autonomous vehicle driving in real road online compared to other methods.

Published
2020

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