A Compression Algorithm for AC0[⊕] circuits using Certifying Polynomials

نویسنده

  • Srikanth Srinivasan
چکیده

A recent work of Chen, Kabanets, Kolokolova, Shaltiel and Zuckerman (CCC 2014, Computational Complexity 2015) introduced the Compression problem for a class C of circuits, defined as follows. Given as input the truth table of a Boolean function f : {0, 1} → {0, 1} that has a small (say size s) circuit from C, find in time 2 any Boolean circuit for f of size less than trivial, i.e. much smaller than 2/n. The work of Chen et al. gave compression algorithms for many classes of circuits including AC (the class of constant-depth unbounded fan-in circuits made up of AND, OR, and NOT gates) and Boolean formulas of size nearly n. They asked if similar results can be obtained for the circuit class AC[⊕], the class of circuits obtained by augmenting AC with unbounded fan-in parity gates. We answer the question positively here, using techniques from work of Kopparty and the author (FSTTCS 2012).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Certifying polynomials for AC0[⊕] circuits, with applications

In this paper, we introduce and develop the method of certifying polynomials for proving AC0[⊕] circuit lower bounds. We use this method to show that Approximate Majority cannot be computed by AC0[⊕] circuits of size n1+o(1). This implies a separation between the power of AC0[⊕] circuits of nearlinear size and uniform AC0[⊕] (and even AC0) circuits of polynomial size. This also implies a separa...

متن کامل

Certifying polynomials for AC[⊕] circuits, with applications

In this paper, we introduce and develop the method of certifying polynomials for proving AC[⊕] circuit lower bounds. We use this method to show that Approximate Majority cannot be computed by AC[⊕] circuits of size n. This implies a separation between the power of AC[⊕] circuits of near-linear size and uniform AC[⊕] (and even AC) circuits of polynomial size. This also implies a separation betwe...

متن کامل

On Improved Degree Lower Bounds for Polynomial Approximation

A polynomial P ∈ F[X1, . . . , Xn] is said to ε-approximate a boolean function F : {0, 1} → {0, 1} under distribution D over {0, 1} if Prx∼D[P (x) 6= F (x)] ≤ ε. Smolensky (1987) showed that for any constant primes p 6= q, any polynomial P ∈ Fp[x1, . . . , xn] that ( 1 2q − Ω(1))-approximates the boolean function MODq : {0, 1} → {0, 1} – which accepts its input iff the number of ones is non-zer...

متن کامل

On Polynomial Approximations to AC

We make progress on some questions related to polynomial approximations of AC0. It is known, by works of Tarui (Theoret. Comput. Sci. 1993) and Beigel, Reingold, and Spielman (Proc. 6th CCC 1991), that any AC0 circuit of size s and depth d has an ε-error probabilistic polynomial over the reals of degree (log(s/ε))O(d). We improve this upper bound to (log s)O(d) · log(1/ε), which is much better ...

متن کامل

Hardness Amplification and the Approximate Degree of Constant-Depth Circuits

We establish a generic form of hardness amplification for the approximability of constantdepth Boolean circuits by polynomials. Specifically, we show that if a Boolean circuit cannot be pointwise approximated by low-degree polynomials to within constant error in a certain onesided sense, then an OR of disjoint copies of that circuit cannot be pointwise approximated even with very high error. As...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Electronic Colloquium on Computational Complexity (ECCC)

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2015