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15 results for "Quantum complexity theory"

15 results for "Quantum complexity theory"

A Composition Theorem for Randomized Query Complexity

Journal Article

Let the randomized query complexity of a relation for error probability ϵ be denoted by Rϵ(⋅). We prove that for any relation f⊆{0,1}n× and Boolean function g:{0,1}m→{0,1}, R1/3(f∘gn)=Ω(R4/9(f)⋅R1/2−1/n4(g)), where f∘gn is the relation obtained by...

Quantum Log-Approximate-Rank Conjecture is also False

Journal Article

In a recent breakthrough result, Chattopadhyay, Mande and Sherif [ECCC TR18-17] showed an exponential separation between the log approximate rank and randomized communication complexity of a total function f, hence refuting the log approximate rank...

Separating quantum communication and approximate rank

Journal Article

One of the best lower bound methods for the quantum communication complexity of a function H (with or without shared entanglement) is the logarithm of the approximate rank of the communication matrix of H. This measure is essentially equivalent to the...

Distributed quantum inner product estimation

Conference Proceedings

As small quantum computers are becoming available on different physical platforms, a benchmarking task known as cross-platform verification has been proposed that aims to estimate the fidelity of states prepared on two quantum computers. This task is...

On Query-To-Communication Lifting for Adversary Bounds

Conference Proceedings

We investigate query-to-communication lifting theorems for models related to the quantum adversary bounds. Our results are as follows:
1) We show that the classical adversary bound lifts to a lower bound on randomized communication complexity with a...

On the compression of messages in the multi-party setting

Journal Article

We consider the following communication task in the multi-party setting, which involves joint random variables X Y Z M N with the property that M is independent of Y Z N conditioned on X, and N is independent of X Z M conditioned on Y . Three parties...