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Quantum Machine Learning
How Quantum Information can improve Social Welfare
arXiv
Authors: Berry Groisman, Michael Mc Gettrick, Mehdi Mhalla, Marcin Pawlowski
Year
2019
Paper ID
39630
Status
Preprint
Abstract Read
~2 min
Abstract Words
59
Citations
N/A
Abstract
It has been shown elsewhere that quantum resources can allow us to achieve a family of equilibria that can have sometimes a better social welfare, while guaranteeing privacy. We use graph games to propose a way to build non-cooperative games from graph states, and we show how to achieve an unlimited improvement with quantum advice compared to classical advice.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2019 reference point for readers tracking recent quantum research.
- It has been shown elsewhere that quantum resources can allow us to achieve a family of equilibria that can have sometimes a better social welfare, while guaranteeing privacy.
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