A link to the presentation of your team’s hackathon project (e.g., video, jupyter notebook, slideshow, etc.).
For details of VQE see: Kandala, A., Mezzacapo, A., Temme, K. et al. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature 549, 242–246 (2017). https://doi.org/10.1038/nature23879
Source code:
A link to the final source code for your team's hackathon project (e.g., a GitHub repo).
Team name:
QunaSys
Team members:
Kamoshita, Kojima
Project Description:
VQE with HF state as initial state
Presentation:
A link to the presentation of your team’s hackathon project (e.g., video, jupyter notebook, slideshow, etc.).
For details of VQE see: Kandala, A., Mezzacapo, A., Temme, K. et al. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature 549, 242–246 (2017). https://doi.org/10.1038/nature23879
Source code:
A link to the final source code for your team's hackathon project (e.g., a GitHub repo).
https://github.com/QunaSys/quantum-algorithm-grand-challenge/blob/main/problem/example.py