Renormalized Circuit Complexity

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Circuit Complexity

Combinational circuits or shortly circuits are a model of the lowest level of computer hardware which is of interest from the point of view of computer science. Circuit complexity has a longer history than complexity theory. Complexity measures like circuit size and depth model sequential time, hardware cost, parallel time, and even storage space. This chapter contains an overview on the resear...

متن کامل

Quantum Circuit Complexity

We propose a complexity model of quantum circuits analogous to the standard (acyclic) Boolean circuit model. It is shown that any function computable in polynomial time by a quantum Turing machine has a polynomial-size quantum circuit. This result also enables us to construct a universal quantum computer which can simulate, with a polynomial factor slowdown, a broader class of quantum machines ...

متن کامل

Polymorphisms and Circuit Complexity

We present a framework for studying circuit complexity that is inspired by techniques that are used for analyzing the complexity of CSPs. We prove that the circuit complexity of a Boolean function f is characterized by the partial polymorphisms of f ’s truth table. Moreover, the non-deterministic circuit complexity of f is characterized by the polymorphisms of f ’s truth table.

متن کامل

Circuit Complexity of Shuffle

We show that Shuffle(x, y, w), the problem of determining whether a string w can be composed from an order preserving shuffle of strings x and y, is not in AC, but it is in AC. The fact that shuffle is not in AC is shown by a reduction of parity to shuffle and invoking the seminal result [FSS84], while the fact that it is in AC is implicit in the results of [Man82a]. Together, the two results p...

متن کامل

Cs221: Computational Complexity Lecture 20: Circuit Complexity

2 Existential Lower Bounds Theorem 1 (Lupanov, Shannon) For each ε > 0 and for each sufficiently large n, ∃f : {0, 1}n → {0, 1} with circuit complexity (over the full basis B2) at least (1− ε)2n n . Proof: We will prove the required result using a counting argument. In particular, we will show that the number of functions mapping {0, 1}n to {0, 1} is much larger than the number of ’distinct’ ci...

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

ژورنال

عنوان ژورنال: Physical Review Letters

سال: 2020

ISSN: 0031-9007,1079-7114

DOI: 10.1103/physrevlett.124.101602