neuromorphic-hardware

Variational learning of quantum ground states on spiking neuromorphic hardware [Blogpost]

Variational learning of quantum ground states on spiking neuromorphic hardware Neural quantum states with neuromorphic hardware? A flood of work on neural quantum states (NQS) in the past years have shown their ability to model quantum many-body systems, often in remarkably scalable fashion.

Variational learning of quantum ground states on spiking neuromorphic hardware

We train a neuromorphic hardware chip to approximate the ground states of quantum spin models by variational energy minimization. Compared to variational artificial neural networks using Markov chain Monte Carlo for sample generation, this approach …

Variational ground state search on the BrainScaleS-2 neuromorphic hardware

In this talk Robert presents results on variational ground state search with the BrainScaleS-2 neuromorphic hardware.

Spiking neuromorphic chip learns entangled quantum states

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 …