Convex optimization using quantum oracles

We study to what extent quantum algorithms can speed up solving convex optimization problems. Following the classical literature we assume access to a convex set via various oracles, and we examine the efficiency of reductions between the different oracles. In particular, we show how a separation or...

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Bibliographic Details
Main Authors: Joran van Apeldoorn, András Gilyén, Sander Gribling, Ronald de Wolf
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2020-01-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2020-01-13-220/pdf/