The status of the P versus NP problem
By Lance Fortnow. CACM, 2009
337 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/1bc831136e380489a0a76ff07f501003866cb954
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Carlo Ciliberto
- Massimiliano Pontil
- Igor L. Markov
- Lek-Heng Lim
- Mark Herbster
- Christopher J. Hillar
- Leonard Wossnig
- Alessandro Davide Ialongo
In Computational Theory and Mathematics
- Christopher J. Hillar
- Igor L. Markov
- Massimiliano Pontil
- Lek-Heng Lim
- Simone Severini
- Carlo Ciliberto
- Boris N. Khoromskij
- Liqun Qi
Citations in the corpus
- Limits on fundamental limits to computation (2014, background): “Researchers have ruled out entire categories of proof techniques as insufficient to complete such a proof [76, 95].”
- Most Tensor Problems Are NP-Hard (2009, result): “s is whether quantum computers might help with these problems. This is believed unlikely because of the seminal works [Bernstein and Vazirani 1997] and [Fortnow and Rogers 1999] (see also the survey [Fortnow 2009]). These authors have demonstrated that the complexity class of bounded error quantum p”
- Quantum machine learning: a classical perspective (2017, background): “Recall that NP-hard is a class of problems for which there is strong evidence of a separation with P [162].”