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Franz J. Schreiber

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Preprint Oct 2026

A provable quantum advantage for approximate optimization via decoded quantum interferometry

Decoded quantum interferometry (DQI) is a novel paradigm for tackling approximate optimization problems on quantum computers. This framework comes with strong performance guarantees and exploits a well-established duality between optimization and coding theory. A central question, however, is whether DQI can actually p...

Maximilian J Kramer, Elies Gil-Fuster, Benjamin D. M. Jones et al. · 0 citations

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