Neural Networks for Programming Quantum Annealers
https://arxiv.org/abs/2308.06807

MIT, UWaterloo, Seth Lloyd (https://en.wikipedia.org/wiki/Seth_Lloyd)

* Both { quantum | classical } ML map information to high-dimensional vector spaces (Hilbert space: https://en.wikipedia.org/wiki/Hilbert_space) w/o explicitly calculating their numerical values
* tested wh. additional quantum layer could boost performance of classical NN
* no provide sig. benefit

#MachineLearning #NeuralNetworks #QuantumComputing #QuantumAnnealers #QuantumNN #QuantumML

@jenseisert Here at the #quromorphic workshop, Christa Zoufal from IBM Zürich just explained to the crowd how to use quantum computers to efficiently prepare Gibbs states for quantum many body systems. #quantumcomputing #quantumML @MPI_ScienceOfLight
🙂

@jenseisert explaining how the output of a quantum circuit can be made hard to learn if one adds a single T gate to a circuit that otherwise is simple (only Clifford gates). At the #quromorphic workshop. #QuantumML

Algorithms utilizing more than 4-qbits in #quantumcomputing ...here is a timely and informative manuscript on #benchmarking results #algorithm #optimizers #computing #data #MachineLeaning #QuantumML
https://arxiv.org/abs/2211.15631

Hello #quantum #quantumAI #quantumML #quantumArt and #quantuminformation people here.