6 papers
Generalized Nonlinear Imaginary-Time Evolution
Chenyu Shi, Hao Wang, Jin-Fu Chen
Imaginary-time evolution (ITE) is a powerful method for ground-state preparation of a given Hamiltonian. The normalized ITE can be viewed as a gradient flow of the energy expectati…
Weighted Approximate Quantum Natural Gradient for Variational Quantum Eigensolver
Chenyu Shi, Vedran Dunjko, Hao Wang
The variational quantum eigensolver (VQE) is one of the most prominent algorithms using near-term quantum devices, designed to find the ground state of a Hamiltonian. In VQE, a cla…
Compare Similarities Between DNA Sequences Using Permutation-Invariant Quantum Kernel
Chenyu Shi, Gabriele Leoni, Mauro Petrillo +2
Computing the similarity between two DNA sequences is of vital importance in bioscience, yet it can be computationally expensive on classical hardware. For example, the edit distan…
Efficient Hamiltonian-aware Quantum Natural Gradient Descent for Variational Quantum Eigensolvers
Chenyu Shi, Hao Wang
The Variational Quantum Eigensolver (VQE) is one of the most promising algorithms for current quantum devices. It employs a classical optimizer to iteratively update the parameters…
MMD-Newton Method for Multi-objective Optimization
Hao Wang, Chenyu Shi, Angel E. Rodriguez-Fernandez +1
Maximum mean discrepancy (MMD) has been widely employed to measure the distance between probability distributions. In this paper, we propose using MMD to solve continuous multi-obj…
Robust UAV Path Planning with Obstacle Avoidance for Emergency Rescue
Junteng Mao, Ziye Jia, Hanzhi Gu +4
The unmanned aerial vehicles (UAVs) are efficient tools for diverse tasks such as electronic reconnaissance, agricultural operations and disaster relief. In the complex three-dimen…