Guest Column: New ways of studying the BPP = P conjecture

Author:

Chen Lijie1,Tell Roei2

Affiliation:

1. Miller Institute for Basic Research in Science at University of California, Berkeley, CA, USA

2. Institute for Advanced Study and DIMACS, Princeton, NJ, USA

Abstract

What's new in the world of derandomization? Questions about pseudorandomness and derandomization have been driving progress in complexity theory for many decades. In this survey we will describe new approaches to the BPP = P conjecture from recent years, as well as new questions, algorithmic approaches, and ways of thinking. For example: Do we really need pseudorandom generators for derandomization, or can we get away with weaker objects? Can we prove free lunch theorems, eliminating randomness with zero computational overhead? What hardness assumptions are necessary and sufficient for derandomization? And how do new advances in this area interact with progress in cryptography and in interactive proof systems?

Publisher

Association for Computing Machinery (ACM)

Subject

General Materials Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Opening Up the Distinguisher: A Hardness to Randomness Approach for BPL=L That Uses Properties of BPL;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

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