While it is known that there is at most a polynomial separation between quantum query complexity and the polynomial degree for total functions, the precise relationship between the two is not clear for partial functions. In this paper, we demonstrate an exponential separation between exact polynomial degree and approximate quantum query complexity for a partial Boolean function. For an unbounded alphabet size, we have a constant versus polynomial separation
We show that almost all n-bit Boolean functions have bounded-error quantum query complexity at least...
We define a new query measure we call quantum distinguishing complexity, denoted QD(f) for a Boolean...
The polynomial and the adversary methods are the two main tools for proving lower bounds on query co...
AbstractThe degree of a polynomial representing (or approximating) a function f is a lower bound for...
We prove a characterization of t-query quantum algorithms in terms of the unit ball of a space of de...
We prove a characterization of quantum query algorithms in terms of polynomials satisfying a certain...
We show an equivalence between 1-query quantum algorithms and representations by degree-2 polynomial...
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...
In this paper we study the complexity of quantum query algorithms computing the value of Boolean fun...
The polynomial method and the adversary method are the two main techniques to prove lower bounds on ...
AbstractThis work studies the quantum query complexity of Boolean functions in an unbounded-error sc...
In 1986, Saks and Wigderson conjectured that the largest separation between deterministic and zero-e...
We consider the number of quantum queries required to determine the coefficients of a degree-d polyn...
We show that almost all n-bit Boolean functions have bounded-error quantum query complexity at least...
We define a new query measure we call quantum distinguishing complexity, denoted QD(f) for a Boolean...
The polynomial and the adversary methods are the two main tools for proving lower bounds on query co...
AbstractThe degree of a polynomial representing (or approximating) a function f is a lower bound for...
We prove a characterization of t-query quantum algorithms in terms of the unit ball of a space of de...
We prove a characterization of quantum query algorithms in terms of polynomials satisfying a certain...
We show an equivalence between 1-query quantum algorithms and representations by degree-2 polynomial...
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...
In this paper we study the complexity of quantum query algorithms computing the value of Boolean fun...
The polynomial method and the adversary method are the two main techniques to prove lower bounds on ...
AbstractThis work studies the quantum query complexity of Boolean functions in an unbounded-error sc...
In 1986, Saks and Wigderson conjectured that the largest separation between deterministic and zero-e...
We consider the number of quantum queries required to determine the coefficients of a degree-d polyn...
We show that almost all n-bit Boolean functions have bounded-error quantum query complexity at least...
We define a new query measure we call quantum distinguishing complexity, denoted QD(f) for a Boolean...
The polynomial and the adversary methods are the two main tools for proving lower bounds on query co...