  The approximation of quantum states with artificial neural networks has
gained a lot of attention during the last years. Meanwhile, analog neuromorphic
chips, inspired by structural and dynamical properties of the biological brain,
show a high energy efficiency in running artificial neural-network
architectures for the profit of generative applications. This encourages
employing such hardware systems as platforms for simulations of quantum
systems. Here we report on the realization of a prototype using the latest
spike-based BrainScaleS hardware allowing us to represent few-qubit maximally
entangled quantum states with high fidelities. Bell correlations of pure and
mixed two-qubit states are well captured by the analog hardware, demonstrating
an important building block for simulating quantum systems with spiking
neuromorphic chips.
