An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems via computational learning theory
It is unclear to what extent quantum algorithms can outperform classical algorithms for problems of combinatorial optimization. In this work, by resorting to computational learning theory and cryptographic notions, we give a fully constructive proof that quantum computers feature a super-polynomial...
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| Published in: | Science advances Vol. 10; no. 11; p. eadj5170 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
15.03.2024
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| ISSN: | 2375-2548, 2375-2548 |
| Online Access: | Get full text |
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