CORDIS Project
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This research focuses on randomness extractors, which are algorithms that enhance the quality of random data. The project aims to solve key open problems in this field and apply findings to improve computational efficiency and error correction in various applications.
Randomness extractors are central in theoretical computer science and have a huge impact in complexity theory, error correcting codes, and cryptography to name a few.
Informally, a randomness extractor is an algorithm that "purifies" the randomness of an imperfect random source by extracting from it a sequence of uniform and independent random bits.
The myriad of applications make randomness extractor theory a vibrant and exciting research field with a major impact.
Over the last few years, t…
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