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Ran Raz - Computer Scientist
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Ran Raz

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Ran Raz is a professor of computer science at Princeton University. He is known for influential contributions to computational complexity theory, including work on interactive proof systems, probabilistically checkable proofs, and fundamental results in communication complexity where he established exponential separations between models. His research also addresses arithmetic circuit lower bounds and the parallel repetition theorem. He has been recognized with major theoretical computer science awards.

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Ran Raz ranks #91 of 185 in the Computer Scientist ranking, behind Xavier Leroy, ahead of Philip Wadler.

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What is Ran Raz's parallel repetition theorem?

Raz's parallel repetition theorem, proved in 1994, shows that repeating a two-prover interactive proof game multiple times in parallel reduces the error probability exponentially. This was a surprising result because parallel repetition was known to not always amplify soundness in multi-prover settings, and Raz's proof resolved a major open problem.

Where does Ran Raz work?

Raz is a professor of computer science at Princeton University. He has also been closely affiliated with the Weizmann Institute of Science in Israel throughout his career.

What contributions has Ran Raz made to communication complexity?

Raz produced breakthrough results showing exponential separations between different models of communication complexity. His work established lower bounds for direct sum problems and demonstrated gaps between quantum and classical communication complexity.

How did Ran Raz contribute to the PCP theorem?

Raz contributed to probabilistically checkable proof (PCP) theory through his work on low-degree testing and the soundness analysis of PCP constructions. His parallel repetition theorem became a key technical tool in many subsequent PCP and hardness-of-approximation results.

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