Quantum Request-Answer Game with Buffer Model for Online Algorithms
Kamil Khadiev

TL;DR
This paper introduces a quantum online algorithm for a request-answer game with a buffer, demonstrating superior competitive ratio over classical algorithms for a specific problem, highlighting quantum advantage in online computation.
Contribution
It presents a quantum algorithm outperforming classical algorithms in a buffer-based online request-answer game, specifically for the Most Frequent Keyword Problem.
Findings
Quantum algorithm has better competitive ratio than classical algorithms.
Classical algorithms in the standard model are equivalent to those in the buffer request-answer game.
Quantum advantage demonstrated for a specific online problem.
Abstract
We consider online algorithms as a request-answer game. An adversary that generates input requests, and an online algorithm answers. We consider a generalized version of the game that has a buffer of limited size. The adversary loads data to the buffer, and the algorithm has random access to elements of the buffer. We consider quantum and classical (deterministic or randomized) algorithms for the model. In the paper, we provide a specific problem (The Most Frequent Keyword Problem) and a quantum algorithm that works better than any classical (deterministic or randomized) algorithm in terms of competitive ratio. At the same time, for the problem, classical online algorithms in the standard model are equivalent to the classical algorithms in the request-answer game with buffer model.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms · Optimization and Search Problems
