In:
SciPost Physics, Stichting SciPost, Vol. 12, No. 1 ( 2022-01-26)
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
2542-4653
DOI:
10.21468/SciPostPhys
DOI:
10.21468/SciPostPhys.12.1.039
Language:
Unknown
Publisher:
Stichting SciPost
Publication Date:
2022
detail.hit.zdb_id:
2886659-9
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