Abstract: Quantum annealers are analog devices designed to implement certain quantum algorithms primarily for solving optimization problems.
I will discuss our experimentation with D-Wave (5600 qubits) and Quantinuum (32 qubits) platforms and lessons one can learn from it.
I will also talk about using these devices as neural networks trainers and how quantum physics may prove to be useful for AI.