Thanks to vintage_Vlad_Makeev for the information.

According to Wikipedia, RP is a class of decision problem which admits a randomized polynomial-time algorithm such that:

• If the correct answer is NO, it always returns NO
• If the correct answer is YES, then it returns YES with probability at least 1/2 (otherwise, it returns NO).

The Amazing Power of Randomness: NP=RP authored by Andras Farago claims that NP=RP. This means, there is a randomized polynomial time solution to NP problems, such as:

• 3-SAT
• Traveling Salesperson Problem
• Minimum Vertex Cover
• Graph Coloring
• Among others

What does it mean? Is the paper wrong? Should we start studying randomized algorithm instead of machine learning? Will all cryptographic system collapse?

Share your thoughts!