machine learning

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.

Scalable quantum state tomography with artificial neural networks [Blogpost]

Scalable quantum state tomography with artificial neural networks The curse of dimensionality and its meaning for NISQ devices The state of a quantum system in its most general form is given by its density matrix $\rho$.

Time-dependent variational principle for open quantum systems with artificial neural networks [Blogpost]

Time-dependent variational principle for open quantum systems with artificial neural networks Descriptions of Open Quantum Systems (OQS) In a quantum mechanical description, the state of a system is either given by a wave function $\psi$ or the density matrix $\rho$.

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.

Neural-network quantum state tomography in a two-qubit experiment

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 …