带缓冲的问答博弈模型的量子在线算法

K. Khadiev, D. Lin
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引用次数: 7

摘要

在本文中,我们将在线算法视为两个参与者之间的请求-回答游戏:生成输入请求的对手和回答这些请求的在线算法。研究了具有有限大小缓冲区的游戏的广义版本。攻击者将数据加载到缓冲区,而算法可以随机访问缓冲区的元素。对于该模型,量子和经典(确定性或随机)算法是关注的焦点。在竞争比方面,提供了一个比任何经典(确定性或随机)算法更好的具体问题和量子算法。同时,对于该问题,标准模型中的经典在线算法等价于带缓冲模型的问答博弈中的经典算法。
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Quantum Online Algorithms for a Model of the Request-Answer Game with a Buffer
In this paper, we considered online algorithms as a request-answer game between two players: an adversary that generates input requests and an online algorithm that answers them. A generalized version of the game that has a buffer of limited size was studied. The adversary loads data to the buffer, while the algorithm has random access to elements of the buffer. For the model, quantum and classical (deterministic or randomized) algorithms were a focus of attention. A specific problem and a quantum algorithm that works better than any classical (deterministic or randomized) algorithm, in terms of competitive ratio, were provided. 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 a buffer model.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
0
审稿时长
17 weeks
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