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We establish two results regarding the query complexity of bounded-error randomized algorithms. * Bounded-error separation theorem. There exists a total function $f : \{0,1\}^n \to \{0,1\}$ whose $\epsilon$-error randomized query complexity…

Computational Complexity · Computer Science 2019-08-06 Eric Blais , Joshua Brody

We show that quantum query complexity satisfies a strong direct product theorem. This means that computing $k$ copies of a function with less than $k$ times the quantum queries needed to compute one copy of the function implies that the…

Quantum Physics · Physics 2012-07-23 Troy Lee , Jérémie Roland

Consider the expected query complexity of computing the $k$-fold direct product $f^{\otimes k}$ of a function $f$ to error $\varepsilon$ with respect to a distribution $\mu^k$. One strategy is to sequentially compute each of the $k$ copies…

Computational Complexity · Computer Science 2024-05-28 Guy Blanc , Caleb Koch , Carmen Strassle , Li-Yang Tan

We establish two new direct product theorems for the randomized query complexity of Boolean functions. The first shows that computing $n$ copies of a function $f$, even with a small success probability of $\gamma^n$, requires $\Theta(n)$…

Computational Complexity · Computer Science 2025-12-10 Shalev Ben-David , Eric Blais

A Direct Sum Theorem holds in a model of computation, when solving some k input instances together is k times as expensive as solving one. We show that Direct Sum Theorems hold in the models of deterministic and randomized decision trees…

Computational Complexity · Computer Science 2010-04-02 Rahul Jain , Hartmut Klauck , Miklos Santha

Let the randomized query complexity of a relation for error probability $\epsilon$ be denoted by $R_\epsilon(\cdot)$. We prove that for any relation $f \subseteq \{0,1\}^n \times \mathcal{R}$ and Boolean function $g:\{0,1\}^m \rightarrow…

Computational Complexity · Computer Science 2017-06-15 Anurag Anshu , Dmitry Gavinsky , Rahul Jain , Srijita Kundu , Troy Lee , Priyanka Mukhopadhyay , Miklos Santha , Swagato Sanyal

The direct product problem is a fundamental question in complexity theory which seeks to understand how the difficulty of computing a function on each of k independent inputs scales with k. We prove the following direct product theorem…

Computational Complexity · Computer Science 2014-05-12 Andrew Drucker

A fundamental question in computer science is: Is it harder to solve $n$ instances independently than to solve them simultaneously? This question, known as the direct sum question or direct sum theorem, has been paid much attention in…

Computational Complexity · Computer Science 2025-01-16 Daiki Suruga

We give improved separations for the query complexity analogue of the log-approximate-rank conjecture i.e. we show that there are a plethora of total Boolean functions on $n$ input bits, each of which has approximate Fourier sparsity at…

Computational Complexity · Computer Science 2020-09-08 Arkadev Chattopadhyay , Ankit Garg , Suhail Sherif

For any $\{0,1\}$-valued function $f$, its \emph{$n$-folded XOR} is the function $f^{\oplus n}$ where $f^{\oplus n}(X_1, \ldots, X_n) = f(X_1) \oplus \cdots \oplus f(X_n)$. Given a procedure for computing the function $f$, one can apply a…

Computational Complexity · Computer Science 2025-06-17 Pachara Sawettamalya , Huacheng Yu

A strong direct product theorem (SDPT) states that solving n instances of a problem requires Omega(n) times the resources for a single instance, even to achieve success probability exp(-Omega(n)). We prove that quantum communication…

Computational Complexity · Computer Science 2010-11-23 Alexander A. Sherstov

For any Boolean functions $f$ and $g$, the question whether $R(f\circ g) = \tilde{\Theta}(R(f)R(g))$, is known as the composition question for the randomized query complexity. Similarly, the composition question for the approximate degree…

Computational Complexity · Computer Science 2023-07-12 Sourav Chakraborty , Chandrima Kayal , Rajat Mittal , Manaswi Paraashar , Swagato Sanyal , Nitin Saurabh

Let $f\subseteq\{0,1\}^n\times\Xi$ be a relation and $g:\{0,1\}^m\to\{0,1,*\}$ be a promise function. This work investigates the randomised query complexity of the relation $f\circ g^n\subseteq\{0,1\}^{m\cdot n}\times\Xi$, which can be…

Computational Complexity · Computer Science 2022-04-05 Dmytro Gavinsky , Troy Lee , Miklos Santha

A strong direct product theorem states that, in order to solve k instances of a problem, if we provide less than k times the resource required to compute one instance, then the probability of overall success is exponentially small in k. In…

Computational Complexity · Computer Science 2013-02-20 Rahul Jain , Penghui Yao

Let $\R(\cdot)$ stand for the bounded-error randomized query complexity. We show that for any relation $f \subseteq \{0,1\}^n \times \mathcal{S}$ and partial Boolean function $g \subseteq \{0,1\}^n \times \{0,1\}$, $\R_{1/3}(f \circ g^n) =…

Computational Complexity · Computer Science 2018-01-11 Swagato Sanyal

We give new proofs for the hardness amplification of efficiently samplable predicates and of weakly verifiable puzzles which generalize to new settings. More concretely, in the first part of the paper, we give a new proof of Yao's XOR-Lemma…

Cryptography and Security · Computer Science 2010-12-30 Thomas Holenstein , Grant Schoenebeck

We prove two new results about the randomized query complexity of composed functions. First, we show that the randomized composition conjecture is false: there are families of partial Boolean functions $f$ and $g$ such that $R(f\circ g)\ll…

Computational Complexity · Computer Science 2020-12-08 Shalev Ben-David , Eric Blais

Random constraint satisfaction problems (CSPs) are known to exhibit threshold phenomena: given a uniformly random instance of a CSP with $n$ variables and $m$ clauses, there is a value of $m = \Omega(n)$ beyond which the CSP will be…

Data Structures and Algorithms · Computer Science 2016-11-07 Prasad Raghavendra , Satish Rao , Tselil Schramm

We completely characterise the complexity in the decision tree model of computing composite relations of the form h = g(f^1,...,f^n), where each relation f^i is boolean-valued. Immediate corollaries include a direct sum theorem for decision…

Computational Complexity · Computer Science 2013-02-19 Ashley Montanaro

We obtain a computational realization of the strong approximation theorem. That is, we develop algorithms to compute all congruence quotients modulo rational primes of a finitely generated Zariski dense group $H \leq \mathrm{SL}(n,…

Group Theory · Mathematics 2019-05-08 Alla Detinko , Dane Flannery , Alexander Hulpke
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