scholarly journals How to Construct Quantum Random Functions

2021 ◽  
Vol 68 (5) ◽  
pp. 1-43
Author(s):  
Mark Zhandry

Pseudorandom functions ( PRFs ) are one of the foundational concepts in theoretical computer science, with numerous applications in complexity theory and cryptography. In this work, we study the security of PRFs when evaluated on quantum superpositions of inputs. The classical techniques for arguing the security of PRFs do not carry over to this setting, even if the underlying building blocks are quantum resistant. We therefore develop a new proof technique to show that many of the classical PRF constructions remain secure when evaluated on superpositions.

2009 ◽  
Vol 20 (03) ◽  
pp. 523-548 ◽  
Author(s):  
JOSEF ŠPROJCAR

We present a semiformal model of anonymous communication with several participants performing several anonymous actions on several messages, e.g. in digital pseudosignatures. The goal is to design a model having enough expressive power to model simple as well as very complex anonymous communication patterns.Our model concentrates on anonymity of a sender, a receiver, and on the relationship anonymity. However, the model is easy to adopt to other types of anonymity. A special anonymous channel formalism is introduced and extensively explored in this paper. The formalism builds on the top of so-called estimation procedure which takes knowledge of the adversary and processes it to find anonymous participants. Some other, already published, models of anonymity, e.g. the model of Hughes and Shmatikov or of Halpern and O'Neill, are compatible with our model – they could be used as building blocks together with (or instead of) our estimation procedure. Therefore, the tools developed for those models can be easily adapted to be used with our model.We use protocol runs and an observational equivalence on the runs which is induced by adversary's knowledge. This is a well developed area of the theoretical computer science and many tools developed therein can be adapted to work with our model. Our model is also open to many additional features, e.g. the possibility to include probability distributions on anonymity sets.


Author(s):  
Mareike Dressler ◽  
Adam Kurpisz ◽  
Timo de Wolff

AbstractVarious key problems from theoretical computer science can be expressed as polynomial optimization problems over the boolean hypercube. One particularly successful way to prove complexity bounds for these types of problems is based on sums of squares (SOS) as nonnegativity certificates. In this article, we initiate optimization problems over the boolean hypercube via a recent, alternative certificate called sums of nonnegative circuit polynomials (SONC). We show that key results for SOS-based certificates remain valid: First, for polynomials, which are nonnegative over the n-variate boolean hypercube with constraints of degree d there exists a SONC certificate of degree at most $$n+d$$ n + d . Second, if there exists a degree d SONC certificate for nonnegativity of a polynomial over the boolean hypercube, then there also exists a short degree d SONC certificate that includes at most $$n^{O(d)}$$ n O ( d ) nonnegative circuit polynomials. Moreover, we prove that, in opposite to SOS, the SONC cone is not closed under taking affine transformation of variables and that for SONC there does not exist an equivalent to Putinar’s Positivstellensatz for SOS. We discuss these results from both the algebraic and the optimization perspective.


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