Abstract. We define and study the complexity of robust polynomials for Boolean functions and the related fault-tolerant quantum decision trees, where input bits are perturbed by noise. We show that, in contrast to the classical model of Feige et al., every Boolean function can be computed by O(n) quantum queries even in the model with noise. This implies, for instance, the somewhat surprising result that every Boolean function has robust degree bounded by O(n).
We show that, for any d, all but a doubly exponentially small fraction of decision trees of depth at...
In this thesis we study various models of query complexity. A query algorithm computes a function un...
AbstractThe degree of a polynomial representing (or approximating) a function f is a lower bound for...
textabstractWe define and study the complexity of \emph{robust} polynomials for Boolean functions a...
Abstract. It has long been known that any Boolean function that depends on n input variables has bot...
It has long been known that any Boolean function that depends on n input variables has both degree a...
It has long been known that any Boolean function that depends on n input variables has both degree a...
We show that almost all n-bit Boolean functions have bounded-error quantum query complexity at least...
Abstract: Is there a general theorem that tells us when we can hope for exponential speedups from qu...
We present several families of total boolean functions which have exact quantum query complexity whi...
In this paper we study the complexity of quantum query algorithms computing the value of Boolean fun...
We prove a characterization of quantum query algorithms in terms of polynomials satisfying a certain...
AbstractThis work studies the quantum query complexity of Boolean functions in an unbounded-error sc...
We consider the number of quantum queries required to determine the coefficients of a degree-d polyn...
We present several families of total boolean functions which have exact quantum query complexity whi...
We show that, for any d, all but a doubly exponentially small fraction of decision trees of depth at...
In this thesis we study various models of query complexity. A query algorithm computes a function un...
AbstractThe degree of a polynomial representing (or approximating) a function f is a lower bound for...
textabstractWe define and study the complexity of \emph{robust} polynomials for Boolean functions a...
Abstract. It has long been known that any Boolean function that depends on n input variables has bot...
It has long been known that any Boolean function that depends on n input variables has both degree a...
It has long been known that any Boolean function that depends on n input variables has both degree a...
We show that almost all n-bit Boolean functions have bounded-error quantum query complexity at least...
Abstract: Is there a general theorem that tells us when we can hope for exponential speedups from qu...
We present several families of total boolean functions which have exact quantum query complexity whi...
In this paper we study the complexity of quantum query algorithms computing the value of Boolean fun...
We prove a characterization of quantum query algorithms in terms of polynomials satisfying a certain...
AbstractThis work studies the quantum query complexity of Boolean functions in an unbounded-error sc...
We consider the number of quantum queries required to determine the coefficients of a degree-d polyn...
We present several families of total boolean functions which have exact quantum query complexity whi...
We show that, for any d, all but a doubly exponentially small fraction of decision trees of depth at...
In this thesis we study various models of query complexity. A query algorithm computes a function un...
AbstractThe degree of a polynomial representing (or approximating) a function f is a lower bound for...