内容：

Quantum mechanics predicts a number of, at first sight, counterintuitive phenomena. It therefore remains

a question whether our intuition is the best way to find new experiments. Here, we report the development

of the computer algorithmMELVIN which is able to find new experimental implementations for the creation

and manipulation of complex quantum states. Indeed, the discovered experiments extensively use

unfamiliar and asymmetric techniques which are challenging to understand intuitively. The results range

from the first implementation of a high-dimensional Greenberger-Horne-Zeilinger state, to a vast variety of

experiments for asymmetrically entangled quantum states—a feature that can only exist when both the

number of involved parties and dimensions is larger than 2. Additionally, new types of high-dimensional

transformations are found that perform cyclic operations. MELVIN autonomously learns from solutions for

simpler systems, which significantly speeds up the discovery rate of more complex experiments. The ability

to automate the design of a quantum experiment can be applied to many quantum systems and allows the

physical realization of quantum states previously thought of only on paper.