A language $L$ has a property tester if there exists a probabilistic algorithm that given an input $x$ queries only a small number of bits of $x$ and distinguishes the cases as to whether $x$ is in $L$ and $x$ has large Hamming distance from all $y$ in $L$. We define a similar notion of quantum property testing and show that there exist languages with good quantum property testers but no good classical testers. We also show there exist languages which require a large number of queries even for quantumly testing
A fundamental problem in statistics and learning theory is to test properties of distributions. We s...
We achieve essentially the largest possible separation between quantum and classical query complexit...
This paper introduces a framework for quantum exact learning via queries, the so-called quantum prot...
A language $L$ has a property tester if there exists a probabilistic algorithm that given an input $...
The area of property testing tries to design algorithms that can efficiently handle very large amoun...
textabstractThe area of property testing tries to design algorithms that can efficiently handle ver...
The area of property testing tries to design algorithms that can efficiently handle very large amoun...
We initiate the systematic study of QMA algorithms in the setting of property testing, to which we r...
We present several new examples of speed-ups obtainable by quantum algorithms in the context of prop...
A fundamental problem in statistics and learning theory is to test properties of distributions. We s...
We describe two procedures which, given access to one copy of a quantum state and a sequence of two-...
In this paper, we present a few simple constructions of quantum locally testable codes that achieve ...
A test of quantumness is a protocol that allows a classical verifier to certify (only) that a prover...
AbstractWe prove the following facts about the language recognition power of quantum Turing machines...
Property Testing is the study of super-efficient algorithms that solve "approximate decision pr...
A fundamental problem in statistics and learning theory is to test properties of distributions. We s...
We achieve essentially the largest possible separation between quantum and classical query complexit...
This paper introduces a framework for quantum exact learning via queries, the so-called quantum prot...
A language $L$ has a property tester if there exists a probabilistic algorithm that given an input $...
The area of property testing tries to design algorithms that can efficiently handle very large amoun...
textabstractThe area of property testing tries to design algorithms that can efficiently handle ver...
The area of property testing tries to design algorithms that can efficiently handle very large amoun...
We initiate the systematic study of QMA algorithms in the setting of property testing, to which we r...
We present several new examples of speed-ups obtainable by quantum algorithms in the context of prop...
A fundamental problem in statistics and learning theory is to test properties of distributions. We s...
We describe two procedures which, given access to one copy of a quantum state and a sequence of two-...
In this paper, we present a few simple constructions of quantum locally testable codes that achieve ...
A test of quantumness is a protocol that allows a classical verifier to certify (only) that a prover...
AbstractWe prove the following facts about the language recognition power of quantum Turing machines...
Property Testing is the study of super-efficient algorithms that solve "approximate decision pr...
A fundamental problem in statistics and learning theory is to test properties of distributions. We s...
We achieve essentially the largest possible separation between quantum and classical query complexit...
This paper introduces a framework for quantum exact learning via queries, the so-called quantum prot...