QRLIT: Quantum Reinforcement Learning for Database Index Tuning
Diogo Barbosa,
Le Gruenwald,
Laurent D’Orazio
et al.
Abstract:Selecting indexes capable of reducing the cost of query processing in database systems is a challenging task, especially in large-scale applications. Quantum computing has been investigated with promising results in areas related to database management, such as query optimization, transaction scheduling, and index tuning. Promising results have also been seen when reinforcement learning is applied for database tuning in classical computing. However, there is no existing research with implementation details and… Show more
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