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We study randomized and quantum query (a.k.a. decision tree) complexity for all total Boolean functions, with emphasis to derandomization and dequantization (removing quantumness from algorithms). Firstly, we show that $D(f) = O(Q_1(f)^3)$…

Quantum Physics · Physics 2007-05-23 Gatis Midrijanis

In 1986, Saks and Wigderson conjectured that the largest separation between deterministic and zero-error randomized query complexity for a total boolean function is given by the function $f$ on $n=2^k$ bits defined by a complete binary tree…

Computational Complexity · Computer Science 2015-10-27 Andris Ambainis , Kaspars Balodis , Aleksandrs Belovs , Troy Lee , Miklos Santha , Juris Smotrovs

This paper explores a fine-grained version of the Watrous conjecture, including the randomized and quantum algorithms with success probabilities arbitrarily close to $1/2$. Our contributions include the following: i) An analysis of the…

Computational Complexity · Computer Science 2023-10-24 Supartha Podder , Penghui Yao , Zekun Ye

The query model offers a concrete setting where quantum algorithms are provably superior to randomized algorithms. Beautiful results by Bernstein-Vazirani, Simon, Aaronson, and others presented partial Boolean functions that can be computed…

Quantum Physics · Physics 2020-02-12 Avishay Tal

We will show that if there exists a quantum query algorithm that exactly computes some total Boolean function f by making T queries, then there is a classical deterministic algorithm A that exactly computes f making O(T^3) queries. The best…

Quantum Physics · Physics 2007-05-23 Gatis Midrijanis

In this note, we develop a bounded-error quantum algorithm that makes $\tilde O(n^{1/4}\varepsilon^{-1/2})$ queries to a Boolean function $f$, accepts a monotone function, and rejects a function that is $\varepsilon$-far from being…

Quantum Physics · Physics 2015-03-11 Aleksandrs Belovs , Eric Blais

We show that there exists a Boolean function $F$ which observes the following separations among deterministic query complexity $(D(F))$, randomized zero error query complexity $(R_0(F))$ and randomized one-sided error query complexity…

Computational Complexity · Computer Science 2015-06-25 Sagnik Mukhopadhyay , Swagato Sanyal

In this paper, we introduce the hybrid query complexity, denoted as $\mathrm{Q}(f;q)$, which is the minimal query number needed to compute $f$, when a classical decision tree is allowed to call $q'$-query quantum subroutines for any $q'\leq…

Computational Complexity · Computer Science 2019-12-02 Xiaoming Sun , Yufan Zheng

By using a new way to encode Boolean functions in a reversible gate, an algorithm is developed in quantum computing over Z_2, symbolized QC/2, (as opposed to QC over C) that needs only one function evaluation to solve the Grover Database…

Quantum Physics · Physics 2024-09-09 David Ellerman

We examine the number T of queries that a quantum network requires to compute several Boolean functions on {0,1}^N in the black-box model. We show that, in the black-box model, the exponential quantum speed-up obtained for partial functions…

Quantum Physics · Physics 2007-05-23 Robert Beals , Harry Buhrman , Richard Cleve , Michele Mosca , Ronald de Wolf

We study the composition question for bounded-error randomized query complexity: Is R(f o g) = Omega(R(f) R(g)) for all Boolean functions f and g? We show that inserting a simple Boolean function h, whose query complexity is only Theta(log…

Computational Complexity · Computer Science 2016-12-06 Shalev Ben-David , Robin Kothari

Aaronson and Ambainis (SICOMP `18) showed that any partial function on $N$ bits that can be computed with an advantage $\delta$ over a random guess by making $q$ quantum queries, can also be computed classically with an advantage $\delta/2$…

Quantum Physics · Physics 2020-11-18 Nikhil Bansal , Makrand Sinha

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

We prove that for every decision tree, the absolute values of the Fourier coefficients of a given order $\ell\geq1$ sum to at most $c^{\ell}\sqrt{\binom{d}{\ell}(1+\log n)^{\ell-1}},$ where $n$ is the number of variables, $d$ is the tree…

Computational Complexity · Computer Science 2023-01-31 Alexander A. Sherstov , Andrey A. Storozhenko , Pei Wu

Based on the recent breakthrough of Huang (2019), we show that for any total Boolean function $f$, the deterministic query complexity, $D(f)$, is at most quartic in the quantum query complexity, $Q(f)$: $D(f) = O(Q(f)^4)$. This matches the…

Quantum Physics · Physics 2020-04-29 Scott Aaronson , Shalev Ben-David , Robin Kothari , Avishay Tal

We show that almost all n-bit Boolean functions have bounded-error quantum query complexity at least n/2, up to lower-order terms. This improves over an earlier n/4 lower bound of Ambainis, and shows that van Dam's oracle interrogation is…

Quantum Physics · Physics 2012-08-07 Andris Ambainis , Arturs Backurs , Juris Smotrovs , Ronald de Wolf

Non-linearity of a Boolean function indicates how far it is from any linear function. Despite there being several strong results about identifying a linear function and distinguishing one from a sufficiently non-linear function, we found a…

Quantum Physics · Physics 2021-12-28 Debajyoti Bera , Tharrmashastha Sapv

We show an equivalence between 1-query quantum algorithms and representations by degree-2 polynomials. Namely, a partial Boolean function $f$ is computable by a 1-query quantum algorithm with error bounded by $\epsilon<1/2$ iff $f$ can be…

Quantum Physics · Physics 2016-07-01 Scott Aaronson , Andris Ambainis , Jānis Iraids , Martins Kokainis , Juris Smotrovs

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 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
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