Jeongwan Haah, Robin Kothari, Ewin Tang. Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. In 63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022, Denver, CO, USA, October 31 - November 3, 2022. pages 135-146, IEEE, 2022. [doi]
@inproceedings{HaahKT22,
title = {Optimal learning of quantum Hamiltonians from high-temperature Gibbs states},
author = {Jeongwan Haah and Robin Kothari and Ewin Tang},
year = {2022},
doi = {10.1109/FOCS54457.2022.00020},
url = {https://doi.org/10.1109/FOCS54457.2022.00020},
researchr = {https://researchr.org/publication/HaahKT22},
cites = {0},
citedby = {0},
pages = {135-146},
booktitle = {63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022, Denver, CO, USA, October 31 - November 3, 2022},
publisher = {IEEE},
isbn = {978-1-6654-5519-0},
}