{"publisher":"IEEE","_id":"8176","user_id":"71541","status":"public","conference":{"location":"San Jose, USA","name":"2011 IEEE 26th Annual Conference on Computational Complexity (CCC)"},"external_id":{"arxiv":["1101.3884"]},"oa":"1","citation":{"ama":"Gharibian S, Kempe J. Approximation Algorithms for QMA-Complete Problems. In: IEEE Annual Conference on Computational Complexity (CCC 2011). IEEE; 2011. doi:10.1109/ccc.2011.15","bibtex":"@inproceedings{Gharibian_Kempe_2011, title={Approximation Algorithms for QMA-Complete Problems}, DOI={10.1109/ccc.2011.15}, booktitle={IEEE Annual Conference on Computational Complexity (CCC 2011)}, publisher={IEEE}, author={Gharibian, Sevag and Kempe, Julia}, year={2011} }","mla":"Gharibian, Sevag, and Julia Kempe. “Approximation Algorithms for QMA-Complete Problems.” IEEE Annual Conference on Computational Complexity (CCC 2011), IEEE, 2011, doi:10.1109/ccc.2011.15.","chicago":"Gharibian, Sevag, and Julia Kempe. “Approximation Algorithms for QMA-Complete Problems.” In IEEE Annual Conference on Computational Complexity (CCC 2011). IEEE, 2011. https://doi.org/10.1109/ccc.2011.15.","short":"S. Gharibian, J. Kempe, in: IEEE Annual Conference on Computational Complexity (CCC 2011), IEEE, 2011.","apa":"Gharibian, S., & Kempe, J. (2011). Approximation Algorithms for QMA-Complete Problems. IEEE Annual Conference on Computational Complexity (CCC 2011). 2011 IEEE 26th Annual Conference on Computational Complexity (CCC), San Jose, USA. https://doi.org/10.1109/ccc.2011.15","ieee":"S. Gharibian and J. Kempe, “Approximation Algorithms for QMA-Complete Problems,” presented at the 2011 IEEE 26th Annual Conference on Computational Complexity (CCC), San Jose, USA, 2011, doi: 10.1109/ccc.2011.15."},"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1101.3884"}],"language":[{"iso":"eng"}],"doi":"10.1109/ccc.2011.15","title":"Approximation Algorithms for QMA-Complete Problems","year":"2011","author":[{"id":"71541","full_name":"Gharibian, Sevag","orcid":"0000-0002-9992-3379","last_name":"Gharibian","first_name":"Sevag"},{"first_name":"Julia","last_name":"Kempe","full_name":"Kempe, Julia"}],"publication_identifier":{"isbn":["9781457701795"]},"publication_status":"published","date_updated":"2023-02-28T11:04:02Z","date_created":"2019-03-01T12:06:18Z","type":"conference","department":[{"_id":"623"},{"_id":"7"}],"publication":"IEEE Annual Conference on Computational Complexity (CCC 2011)","extern":"1","abstract":[{"text":"Approximation algorithms for classical constraint satisfaction problems are one of the main research areas in theoretical computer science. Here we define a natural approximation version of the QMA-complete local Hamiltonian problem and initiate its study. We present two main results. The first shows that a non-trivial approximation ratio can be obtained in the class NP using product states. The second result (which builds on the first one), gives a polynomial time (classical) algorithm providing a similar approximation ratio for dense instances of the problem. The latter result is based on an adaptation of the \"exhaustive sampling method\" by Arora et al. [J. Comp. Sys. Sci. 58, p.193 (1999)] to the quantum setting, and might be of independent interest.","lang":"eng"}]}