Meta-Learning Algorithms and their Applications to Quantum Computing
PIRSA ID:
20010095
Event Type:
Seminar
Scientific Area(s):
Quantum Matter
End date:
Speaker(s):
- Mat Kallada, Mila
Meta-learning involves learning mathematical devices using problem instances as training data. In this talk, we first describe recent meta-learning approaches involving the learning of objects such as: initial weights, parameterized losses, hyper-parameter search strategies, and samplers. We then discuss learned optimizers in further detail and their applications towards optimizing variational circuits. This talk also covers some lessons learned starting a spin-off from academia.