Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

An Efficient Concurrent Repetition Theorem.

Douglas Wikström

Published Jan 1, 2009• 3 citations
OpenAlex

Abstract

H˚astad et al. (2008) prove, using Raz’s lemma (STOC ’95) the first efficient parallel repetition theorem for protocols with a non-constant number of rounds, for a natural generalization of public-coin protocols. They show that a parallel prover that convinces a fraction 1 − γ of the embedded verifiers of a k-wise repeated m-message verifier can be turned into a prover with error probability 1 − γ − O(m √ − log (ɛ) /k). This improves previous results of Impagliazzo et al. (Crypto 2007) and Pass and Venkitasubramaniam (STOC 2007) that studies the constant round case. We prove a generalization of Raz’s Lemma to random processes that allows us to improve the analysis of the reduction of H˚astad et al. in the public-coin case to 1 − γ − O ( √ − log (ɛ) /k), i.e., we remove the dependence on the number rounds completely, and thus the restriction to settings where k> m2. An important implication of the strengthened parallel repetition theorem is the first efficient concurrent repetition theorem for protocols with a non-constant number of rounds. In concurrent repetition, the verifiers execute completely independently and only report their final decision, i.e., the prover chooses arbitrarily in which order it interacts with the individual verifiers. This should be contrasted with parallel repetition where the verifiers are synchronized in each round. 1

Related papers

Error reduction by parallel repetition-the state of the art

Uriel Feige

We show that no fixed number of parallel repetitions suffices in order to reduce the error in two-prover one-round proof systems from one constant to another. Our results imply that the recent bounds proven by Ran Raz, showing that the number of rounds that suffice is inversely proportional to the answer length, are nearly best possible. Our proof technique builds upon an idea of Oleg Verbitsky. We use this opportunity to survey the known results on parallel repetition, and to present the proofs of some previously claimed theorems. 1 Introduction A two prover one round proof system [8], MIP(2,1), is a protocol by which two provers jointly try to convince a computationally limited probabilistic verifier that a common input belongs to a prespecified language. The verifier selects a pair of questions at random. Each prover sees only one of the two questions, and sends back an answer. The verifier evaluates a predicate on the common input and the two questions and answers, and accepts or ...

•Nov 1, 1995•22 citations

The Randomness Complexity of Parallel Repetition

Kai-Min Chung, Rafael Pass

Consider a m-round interactive protocol with soundness error 1/2. How much extra randomness is required to decrease the soundness error to δ through parallel repetition? Previous work, initiated by Bell are, Goldreich and Goldwasser, shows that for public-coin interactive protocols with statistical soundness, m · O(log (1/δ)) bits of extra randomness suffices. In this work, we initiate a more general study of the above question. We establish the first derandomized parallel repetition theorem for public-coin interactive protocols with computational soundness (a.k.a. arguments). The parameters of our result essentially matches the earlier works in the information-theoretic setting. We show that obtaining even a sub-linear dependency on the number of rounds m (i.e., o(m)·log(1/δ)) is impossible in the information-theoretic, and requires the existence of one-way functions in the computational setting. We show that non-trivial derandomized parallel repetition for private-coin protocols is impossible in the information-theoretic setting and requires the existence of one-way functions in the computational setting. These results are tight in the sense that parallel repetition theorems in the computational setting can trivially be derandomized using pseudorandom generators, which are implied by the existence of one-way functions.

Annual Symposium on Foundations of Computer Science•Oct 1, 2011•4 citations

Parallel Repetition for Post-Quantum Arguments

Andrew Huang, Yael Tauman Kalai

In this work, we show that parallel repetition of public-coin interactive arguments reduces the soundness error at an exponential rate even in the post-quantum setting. Moreover, we generalize this result to hold for threshold verifiers, where the parallel repeated verifier accepts if and only if at least t of the executions are accepted (for some threshold t). Prior to this work, these results were known only when the cheating prover was assumed to be classical.We also prove a similar result for three-message private-coin arguments. Previously, Bostanci, Qian, Spooner, and Yuen (STOC 2024) proved such a parallel repetition result in the more general setting of quantum protocols, where the verifier and communication may be quantum. We consider only protocols where the verifier is classical, but obtain a simplified analysis, and for the more general setting of threshold verifiers.

arXiv:2506.02277•Annual Symposium on Foundations of Computer Science•Dec 14, 2025•1 citation

Parallel Repetition of Prover-Verifier Quantum Interactions

Abel Molina

In this thesis, we answer several questions about the behaviour of prover-verifier interactions under parallel repetition when quantum information is allowed, and the verifier acts independently in them. We first consider the case in which a value is associated with each of the possible outcomes of an interaction. We prove that it is not possible for the prover to improve on the optimum average value per repetition by repeating the protocol multiple times in parallel. We look then at games in which the outcomes are classified into two types, winning outcomes and losing outcomes. We ask what is the optimal probability for the prover of winning at least k times out of n parallel repetitions, given that the optimal probability of winning when only one repetition is considered is $p$. A reasonable conjecture for the answer would be \sum_{m \geq k} {n \choose m} p^m (1-p)^{n-m}, as that is the answer when it is optimal for the prover to act independently. This is known to be the correct answer when k=n, and also in the classical case. It is also correct in some generalizations of the classical case that we will discuss later. We will show how this cannot be extended to all cases, presenting an example of an interaction with k=1,n=2 in which p\approx 0.85, but it is possible to always win at least once. We will then give some upper bounds on the optimal probability for the prover of winning k times out of n parallel repetitions. These bounds are expressed as a function of p. Finally, we will connect our results to the study of error reduction for quantum interactive proofs using parallel repetition.

arXiv:1203.4885•Mar 22, 2012•0 citations

Parallel Repetition of Prover-Verifier Quantum Interactions

Abel Molina

In this thesis, we answer several questions about the behaviour of prover-verifier interactions under parallel repetition when quantum information is allowed, and the verifier acts independently in them. \n \nWe first consider the case in which a value is associated with each of the possible outcomes of an interaction. We prove that it is not possible for the prover to improve on the optimum average value per repetition by repeating the protocol multiple times in parallel. \n \nWe look then at games in which the outcomes are classified into two types, winning outcomes and losing outcomes. We ask what is the optimal probability for the prover of winning at least k times out of n parallel repetitions, given that the optimal probability of winning when only one repetition is considered is p. A reasonable conjecture for the answer would be the answer when it is optimal for the prover to act independently. This is known to be the correct answer when k=n. We will show how this cannot be extended to the general case, presenting an example of an interaction with k=1,n=2 in which p is approximately 0.85, but it is possible to always win at least once. We will then give some upper bounds on the optimal probability for the prover of winning k times out of n parallel repetitions. These bounds are expressed as a function of p. \n \nFinally, we connect our results to the study of error reduction for quantum interactive proofs using parallel repetition.

•Jan 1, 2011•0 citations

A k-PROVERS PARALLEL REPETITION THEOREM FOR A VERSION OF NO-SIGNALING MODEL

Ricky Rosen

The parallel repetition theorem states that for any two provers one round game with value at most 1 - ∊ (for ∊ < 1/2), the value of the game repeated n times in parallel is at most (1 - ∊3)Ω(n/ log s) where s is the size of the answers set [9, 12]. It is not known how the value of the game decreases when there are three or more players. In this paper we address the problem of the error decrease of parallel repetition game for k-provers where k > 2. We consider a special case of the No-Signaling model and show that the error of the parallel repetition of k-provers one round game, for k > 2, in this model, decreases exponentially depending only on the error of the original game and on the number of repetitions. There were no prior results for k-provers parallel repetition for k > 2 in any model.

Discrete Mathematics Algorithms and Applications•Dec 1, 2010•0 citations
H˚astad et al. (2008) prove, using Raz’s lemma (STOC ’95) the first efficient parallel repetition theorem for protocols with a non-constant number of rounds, for a natural generalization of public-coin protocols. They show that a parallel prover that convinces a fraction 1 − γ of the embedded verifiers of a k-wise repeated m-message verifier can be turned into a prover with error probability 1 − γ − O(m √ − log (ɛ) /k). This improves previous results of Impagliazzo et al. (Crypto 2007) and Pass and Venkitasubramaniam (STOC 2007) that studies the constant round case. We prove a generalization of Raz’s Lemma to random processes that allows us to improve the analysis of the reduction of H˚astad et al. in the public-coin case to 1 − γ − O ( √ − log (ɛ) /k), i.e., we remove the dependence on the number rounds completely, and thus the restriction to settings where k> m2. An important implication of the strengthened parallel repetition theorem is the first efficient concurrent repetition theorem for protocols with a non-constant number of rounds. In concurrent repetition, the verifiers execute completely independently and only report their final decision, i.e., the prover chooses arbitrarily in which order it interacts with the individual verifiers. This should be contrasted with parallel repetition where the verifiers are synchronized in each round. 1
We show that no fixed number of parallel repetitions suffices in order to reduce the error in two-prover one-round proof systems from one constant to another. Our results imply that the recent bounds proven by Ran Raz, showing that the number of rounds that suffice is inversely proportional to the answer length, are nearly best possible. Our proof technique builds upon an idea of Oleg Verbitsky. We use this opportunity to survey the known results on parallel repetition, and to present the proofs of some previously claimed theorems. 1 Introduction A two prover one round proof system [8], MIP(2,1), is a protocol by which two provers jointly try to convince a computationally limited probabilistic verifier that a common input belongs to a prespecified language. The verifier selects a pair of questions at random. Each prover sees only one of the two questions, and sends back an answer. The verifier evaluates a predicate on the common input and the two questions and answers, and accepts or ...
Consider a m-round interactive protocol with soundness error 1/2. How much extra randomness is required to decrease the soundness error to δ through parallel repetition? Previous work, initiated by Bell are, Goldreich and Goldwasser, shows that for public-coin interactive protocols with statistical soundness, m · O(log (1/δ)) bits of extra randomness suffices. In this work, we initiate a more general study of the above question. We establish the first derandomized parallel repetition theorem for public-coin interactive protocols with computational soundness (a.k.a. arguments). The parameters of our result essentially matches the earlier works in the information-theoretic setting. We show that obtaining even a sub-linear dependency on the number of rounds m (i.e., o(m)·log(1/δ)) is impossible in the information-theoretic, and requires the existence of one-way functions in the computational setting. We show that non-trivial derandomized parallel repetition for private-coin protocols is impossible in the information-theoretic setting and requires the existence of one-way functions in the computational setting. These results are tight in the sense that parallel repetition theorems in the computational setting can trivially be derandomized using pseudorandom generators, which are implied by the existence of one-way functions.
In this work, we show that parallel repetition of public-coin interactive arguments reduces the soundness error at an exponential rate even in the post-quantum setting. Moreover, we generalize this result to hold for threshold verifiers, where the parallel repeated verifier accepts if and only if at least t of the executions are accepted (for some threshold t). Prior to this work, these results were known only when the cheating prover was assumed to be classical.We also prove a similar result for three-message private-coin arguments. Previously, Bostanci, Qian, Spooner, and Yuen (STOC 2024) proved such a parallel repetition result in the more general setting of quantum protocols, where the verifier and communication may be quantum. We consider only protocols where the verifier is classical, but obtain a simplified analysis, and for the more general setting of threshold verifiers.
In this thesis, we answer several questions about the behaviour of prover-verifier interactions under parallel repetition when quantum information is allowed, and the verifier acts independently in them. We first consider the case in which a value is associated with each of the possible outcomes of an interaction. We prove that it is not possible for the prover to improve on the optimum average value per repetition by repeating the protocol multiple times in parallel. We look then at games in which the outcomes are classified into two types, winning outcomes and losing outcomes. We ask what is the optimal probability for the prover of winning at least k times out of n parallel repetitions, given that the optimal probability of winning when only one repetition is considered is ppp. A reasonable conjecture for the answer would be \sum_{m \geq k} {n \choose m} p^m (1-p)^{n-m}, as that is the answer when it is optimal for the prover to act independently. This is known to be the correct answer when k=n, and also in the classical case. It is also correct in some generalizations of the classical case that we will discuss later. We will show how this cannot be extended to all cases, presenting an example of an interaction with k=1,n=2 in which p\approx 0.85, but it is possible to always win at least once. We will then give some upper bounds on the optimal probability for the prover of winning k times out of n parallel repetitions. These bounds are expressed as a function of p. Finally, we will connect our results to the study of error reduction for quantum interactive proofs using parallel repetition.
In this thesis, we answer several questions about the behaviour of prover-verifier interactions under parallel repetition when quantum information is allowed, and the verifier acts independently in them. \n \nWe first consider the case in which a value is associated with each of the possible outcomes of an interaction. We prove that it is not possible for the prover to improve on the optimum average value per repetition by repeating the protocol multiple times in parallel. \n \nWe look then at games in which the outcomes are classified into two types, winning outcomes and losing outcomes. We ask what is the optimal probability for the prover of winning at least k times out of n parallel repetitions, given that the optimal probability of winning when only one repetition is considered is p. A reasonable conjecture for the answer would be the answer when it is optimal for the prover to act independently. This is known to be the correct answer when k=n. We will show how this cannot be extended to the general case, presenting an example of an interaction with k=1,n=2 in which p is approximately 0.85, but it is possible to always win at least once. We will then give some upper bounds on the optimal probability for the prover of winning k times out of n parallel repetitions. These bounds are expressed as a function of p. \n \nFinally, we connect our results to the study of error reduction for quantum interactive proofs using parallel repetition.
The parallel repetition theorem states that for any two provers one round game with value at most 1 - ∊ (for ∊ < 1/2), the value of the game repeated n times in parallel is at most (1 - ∊3)Ω(n/ log s) where s is the size of the answers set [9, 12]. It is not known how the value of the game decreases when there are three or more players. In this paper we address the problem of the error decrease of parallel repetition game for k-provers where k > 2. We consider a special case of the No-Signaling model and show that the error of the parallel repetition of k-provers one round game, for k > 2, in this model, decreases exponentially depending only on the error of the original game and on the number of repetitions. There were no prior results for k-provers parallel repetition for k > 2 in any model.