Quantum neuromorphic computing

Understand

Quantum neuromorphic computing physically implements neural networks in brain-inspired quantum hardware to speed up their computation.

• In this perspective article, we show that this emerging paradigm could make the best use of the existing and near future intermediate size quantum computers.
• Some approaches are based on parametrized quantum circuits, and use neural network-inspired algorithms to train them.
• Other approaches, closer to classical neuromorphic computing, take advantage of the physical properties of quantum oscillator assemblies to mimic neurons and compute.