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About A Quantum-Inspired Classical Algorithm For Recommendation Systems
1) The document presents a classical algorithm for recommendation systems that matches the performance of a previous quantum algorithm by Kerenidis and Prakash, up to polynomial factors. 2) The classical algorithm works by manipulating sampling distributions over l2 norms, which play a similar role to quantum superpositions. 3) This shows that the quantum algorithm by Kerenidis and Prakash does not actually provide an exponential speedup over classical algorithms for recommendation systems.
Detailed Information
| Author: | ['Dimas Cabré i Chacón'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 32 |
| Language: | English |
| Format: | |
| Price: | FREE |
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