Dataset Tensor-Programmable Quantum Circuits for Solving Differential Equations
收藏DataCite Commons2025-11-25 更新2026-05-07 收录
下载链接：
https://www.fdr.uni-hamburg.de/record/18138
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资源简介：
We used a self-written Julia library to find unitary approximations of
matrix product operators (MPO). We implemented the variational quantum algorithms in python,
using pennylane, pyTorch and Jax.
This dataset contains:
- Unitaries that represent the MPO operators
- Weights for all time steps parametrizing the solution of the linear Euler equation, the Burgers’
equation and the Advection-Diffusion equation.
- Weights encoding the initial condition for the the Burgers’ equation and the Advection-Diffusion
equation.
- Data used for Fig.4, Fig.7 , Fig.8
提供机构：
Universität Hamburg
创建时间：
2025-11-25
