[Submitted on 29 Apr 2020]
Abstract: We discuss the synergetic connection between quantum computing and artificial
intelligence. After surveying current approaches to quantum artificial
intelligence and relating them to a formal model for machine learning
processes, we deduce four major challenges for the future of quantum artificial
intelligence: (i) Replace iterative training with faster quantum algorithms,
(ii) distill the experience of larger amounts of data into the training
process, (iii) allow quantum and classical components to be easily combined and
exchanged, and (iv) build tools to thoroughly analyze whether observed benefits
really stem from quantum properties of the algorithm.
Submission history
From: Sebastian Feld [view email]
[v1]
Wed, 29 Apr 2020 09:07:05 UTC (752 KB)
